Methods, systems, and computer-storage media are provided for generating graphical representations of audit events. A party-of-interest is represented by a central node, and one or more peripheral nodes surrounding the central node represent parties having electronic records accessed by the party-of-interest during a selected time frame. The size of the peripheral nodes represents a frequency of access of the node's respective electronic record. Each of the peripheral nodes is actionable enabling a user to view information related to the audit event.
G06F 3/04847 - Interaction techniques to control parameter settings, e.g. interaction with sliders or dials
G16H 10/60 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
G06F 3/04842 - Selection of displayed objects or displayed text elements
G06F 3/04817 - Interaction techniques based on graphical user interfaces [GUI] based on specific properties of the displayed interaction object or a metaphor-based environment, e.g. interaction with desktop elements like windows or icons, or assisted by a cursor's changing behaviour or appearance using icons
2.
Gap in Care Determination Using a Generic Repository for Healthcare
By extracting clinical data of any format from respective different sources, a data repository normalized to a generic format is created. A medical domain specific language may be used to interact with the data repository for identifying cohorts and gaps in care for the respective cohorts. Any rules for finding gaps in care are converted into the medical domain specific language for determining gaps. This standardization in both the data repository and rule application may allow for a true cost and time to value solution accessible to many different medical practices.
G06F 40/40 - Processing or translation of natural language
G16H 50/20 - ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
G16H 50/70 - ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients
A stroke detection system analyzes images of a person's face over time to detect asymmetric changes in the position of certain reference points that are consistent with sagging or drooping that may be symptomatic of a stroke or TIA. On detecting possible symptoms of a stroke or TIA, the system may alert caregivers or others, and log the event in a database. Identifying stroke symptoms automatically may enable more rapid intervention, and identifying TIA symptoms may enable diagnostic and preventative care to reduce the risk of a future stroke.
H04N 7/18 - Closed-circuit television systems, i.e. systems in which the signal is not broadcast
G16H 40/63 - ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for local operation
G16H 10/60 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
H04N 13/204 - Image signal generators using stereoscopic image cameras
H04N 13/207 - Image signal generators using stereoscopic image cameras using a single 2D image sensor
G16H 40/20 - ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
G06V 10/42 - Global feature extraction by analysis of the whole pattern, e.g. using frequency domain transformations or autocorrelation
G06V 10/44 - Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components
G06V 20/52 - Surveillance or monitoring of activities, e.g. for recognising suspicious objects
G06T 11/60 - Editing figures and text; Combining figures or text
H04N 5/232 - Devices for controlling television cameras, e.g. remote control
A61B 5/1171 - Identification of persons based on the shapes or appearances of their bodies or parts thereof
G08B 13/196 - Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems using television cameras
G16H 30/20 - ICT specially adapted for the handling or processing of medical images for handling medical images, e.g. DICOM, HL7 or PACS
G16H 15/00 - ICT specially adapted for medical reports, e.g. generation or transmission thereof
G16H 80/00 - ICT specially adapted for facilitating communication between medical practitioners or patients, e.g. for collaborative diagnosis, therapy or health monitoring
G16H 40/67 - ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for remote operation
G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment
G16H 20/10 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to drugs or medications, e.g. for ensuring correct administration to patients
Methods, systems, and computer-readable media are provided for facilitating mapping of semantically similar terms between and among two or more information systems. In particular, to facilitate automatic discovery, establishment, and/or statistical validation of linkages between a plurality of different nomenclatures employed by a plurality of information systems, such as multiple electronic health record systems. In embodiments, the imputation of latent synonymy in corpora comprised of samples of historical records from each system enables automated terminology mapping between disparate systems' records, thereby establishing reliable linkages that may subsequently be utilized for realtime decision support, data mining-based research, or other valuable purposes.
G06F 16/28 - Databases characterised by their database models, e.g. relational or object models
G16H 10/60 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
G16H 15/00 - ICT specially adapted for medical reports, e.g. generation or transmission thereof
5.
UTILIZING ARTIFICIAL INTELLIGENCE TO DETECT OBJECTS OR PATIENT SAFETY EVENTS IN A PATIENT ROOM
Methods and systems are provided for detecting objects or patient safety events in a patient room. Artificial intelligence is utilized to enhance safety issue recognition capabilities by the methods and systems. Sensors collect a series of images and depth data in a room of a patient. Data (corresponding to images and depth data of an object or patient safety event) is received from the sensors and compared to stored data to identify the object or patient safety event. The images are communicated to a central video monitoring system and a user may be prompted to confirm if the object requires learning or a patient safety event occurred (or identify the object or patient safety event) or to provide additional parameters or actions. A patient safety learning system analyzes the data and incorporates the user response to enhance safety issue recognition capabilities of the system and reduce false alerts.
Systems, methods, and computer-readable media are disclosed herein that generate a ternary tree data structure that includes multiple categories (e.g., terminologies) using dynamic array modifications that facilitate sharing of one or more nodes across categories. A plurality of different categories may be added and stored within a single ternary tree data structure such that each categories may be separately queried using the single ternary data structure.
Methods, systems, and computer-readable media are disclosed herein that provide services for automatically facilitate mobile-friendly messages containing identification-scrubbed clinical images transferred between a secure healthcare system and an external application that is accessed on a mobile device. Through the services and using minimal inputs, a scrubbed outgoing message containing patient-specific images is automatically generated and transmitted to a mobile device for a user to review. The services automatically track replies as incoming messages that can be mapped back to one patient and one patient visit using unique identifiers that ensure patient information is not shared outside the secure healthcare system. Also, the services automatically extract clinical finding from incoming messages and provide notifications containing the clinical findings to the appropriate clinician for the patient that corresponds to the reviewed images.
G16H 40/20 - ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
G16H 30/40 - ICT specially adapted for the handling or processing of medical images for processing medical images, e.g. editing
G06Q 30/00 - Commerce, e.g. shopping or e-commerce
G06Q 10/10 - Office automation, e.g. computer aided management of electronic mail or groupware; Time management, e.g. calendars, reminders, meetings or time accounting
G16H 15/00 - ICT specially adapted for medical reports, e.g. generation or transmission thereof
G16H 40/67 - ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for remote operation
G06F 16/955 - Retrieval from the web using information identifiers, e.g. uniform resource locators [URL]
G06F 21/62 - Protecting access to data via a platform, e.g. using keys or access control rules
H04L 29/06 - Communication control; Communication processing characterised by a protocol
A61B 5/00 - Measuring for diagnostic purposes ; Identification of persons
8.
Generating asynchronous runtime compatibility in JavaScript applications
Methods and computer-readable media are disclosed herein for generating asynchronous runtime compatible applications from non-asynchronous applications. In embodiments, source code for the application that is not compatible with asynchronous processing is examined. The source code is parsed in order to identify unsafe functions that will cause failures of the application when processed in an asynchronous runtime. The source code corresponding to those unsafe functions is modified by adding asynchronous functions and commands to the source code and restructuring the source code. The modified source code may then be provided to an asynchronous runtime environment as the application is now compatible with asynchronous processing.
Methods, computer systems, and computer storage media are provided for facilitating claims management using planned orders. More particularly, encounter information can be synchronized with clinical system data in a revenue cycle management system so costly editing and delays can be avoided. Initially, an order for the patient during an encounter is received from a clinical system. A clinician may be prompted indicating the order cannot be completed because of a conflict. The revenue cycle management system monitors the clinical system for the missing information corresponding to the conflict. Once the missing information is received, the encounter information is synchronized with the missing information. The synchronized encounter information comprises automated edits that enable a claim corresponding to the encounter to be billable.
G16H 40/20 - ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
G06Q 40/00 - Finance; Insurance; Tax strategies; Processing of corporate or income taxes
G06Q 10/10 - Office automation, e.g. computer aided management of electronic mail or groupware; Time management, e.g. calendars, reminders, meetings or time accounting
G06F 16/27 - Replication, distribution or synchronisation of data between databases or within a distributed database system; Distributed database system architectures therefor
Systems, methods and computer-readable media are provided for facilitating patient health care by providing discovery, validation, and quality assurance of nomenclatural linkages between pairs of terms or combinations of terms in databases extant on multiple different health information systems that do not share a set of unified codesets, nomenclatures, or ontologies, or that may in part rely upon unstructured free-text narrative content instead of codes or standardized tags. Embodiments discover semantic structures existing naturally in documents and records, including relationships of synonymy and polysemy between terms arising from disparate processes, and maintained by different information systems. In some embodiments, this process is facilitated by applying Latent Semantic Analysis in concert with decision-tree induction and similarity metrics. In some embodiments, data is re-mined and regression testing is applied to new mappings against an existing mapping base, thereby permitting these embodiments to “learn” ontology mappings as clinical, operational, or financial patterns evolve.
Methods, systems, and computer-readable media are disclosed herein for generating a user-interactive partogram in a graphical user interface using cloud deployment and multi-application integration.
G16H 10/60 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
H04L 29/06 - Communication control; Communication processing characterised by a protocol
H04L 29/08 - Transmission control procedure, e.g. data link level control procedure
Methods, systems, and computer-readable media for a system and method are provided for assessing the value of predictive models monitoring medical conditions. Trends in an individual's medical condition are determined based on monitoring values, and the trends are associated with the actions performed in response to the monitoring values and in accordance with the predictive models. The trends may indicate that an individual's condition is improving, worsening, or remaining stable in response to the action taken. Models used for multiple conditions for an individual or for a population of individuals may be assessed in this manner to generate knowledge regarding the performance of the models based on the actions taken. This knowledge may be used to assess the value of the models in terms of the models' performance and may provide insight on way to improve the models.
G16H 50/50 - ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for simulation or modelling of medical disorders
G16H 50/20 - ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
G16H 50/70 - ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients
13.
AUTOMATED ICON ACCESSIBILITY ASSESSMENT ALGORITHM AND TOOL
Systems, methods, and computer-readable media for providing tools to validate color contrast are provided. To do so, three discrete color check processes are performed to ensure a user is able to identify when an icon is at risk of being inaccessible by some users. A border score considers each pixel at the edge of an icon compared to the background in which it is placed. An area score considers each discrete pixel of an icon compared to the background in which it is placed. A grid score considers a subdivision of an icon compared to the background in which it is placed. Using each of these three independent process, a summative score is provided. The summative score categories the icon into a risk level. Depending on the risk level, the icon may need to be refined to ensure it becomes more accessible.
Methods, systems, and computer-readable media are disclosed herein for improved state identification and prediction in computerized queries. In an aspects, a neural network model is trained via word embedding, using a plurality of workflows having a plurality of steps as input training data. The model may be searched using a string to locate and identify semantic matches as potential results, where the potential results correspond to a specific step and/or a particular workflow. Markov chaining may also be performed, using the potential results, in order to predict one or more additional results, where the additional results correspond to a specific succeeding step within a particular workflow, in some aspects. The results and predicted steps may be displayed.
Methods, systems, and computer-readable media are disclosed herein that provide a comprehensive view that reveals all or nearly all possible method dependencies that are present in client workflows. In aspects, when computer code for a particular method is going to be edited, other methods are identified that have upstream or downstream dependencies relative to the particular method. The methods that will be affected based on the computer code editing can be presented in a user-interactive graphical user interface that facilitates exploration of upstream and downstream dependencies.
Decision support technology is provided for use with patients who may experience respiratory deterioration. A mechanism is provided to determine an indicator of a patient's probability of deterioration of respiratory functioning, which may include calculating a probability of a respiratory deterioration event in patients from whom serial digital recordings of respiratory sounds are acquired. A forecast or score representing a likelihood of deterioration may be generated and used for pulmonary disease prognosis, diagnosis, and/or determining or implementing an appropriate response action such as automatically issuing an alert or notification to a caregiver associated with the patient.
09 - Scientific and electric apparatus and instruments
42 - Scientific, technological and industrial services, research and design
Goods & Services
Computer software for use in the healthcare field, namely, for patient registration, admission discharge and transfer of patients, automating billing processes, patient accounting, submitting claims to insurance companies or other payors of healthcare services, reimbursement management, and integrating financial information. Providing online, non-downloadable software in the healthcare field, namely, providing a software platform for patient registration, admission discharge and transfer of patients, automating billing processes, patient accounting, submitting claims to insurance companies or other payors of healthcare services, reimbursement management, and integrating financial information.
09 - Scientific and electric apparatus and instruments
42 - Scientific, technological and industrial services, research and design
Goods & Services
(1) Computer software for use in the healthcare field, namely, for patient registration, admission discharge and transfer of patients, automating billing processes, patient accounting, submitting claims to insurance companies or other payors of healthcare services, reimbursement management, and integrating financial information (1) Providing online, non-downloadable software in the healthcare field, namely, providing a software platform for patient registration, admission discharge and transfer of patients, automating billing processes, patient accounting, submitting claims to insurance companies or other payors of healthcare services, reimbursement management, and integrating financial information
19.
GENERATION OF SYNTHETIC ALERTS AND UNIFIED DASHBOARD FOR VIEWING MULTIPLE LAYERS OF DATA CENTER SIMULTANEOUSLY
Systems and methods provide for automatically generating a data model that includes a first data feed conforming to industry standards where only alerts for alert triggering violations are provided. The data model further comprises a second data feed that includes both the alerts from the first data feed and a plurality of synthetic alerts for any violations that occur in a data center but do not qualify as alert triggering violations. This second data feed provides a complete picture of the performance of a data center's devices and allows for accurate analytics.
Methods and systems determine risks of deterioration of hospitalized or other monitored or cared-for patients, for example in a treatment facility such as a hospital or under home-health care. In embodiments, a warning or other instruction is issued to medical professionals to alert them that certain patients have moderate or high risk of transfer to a higher level of care or should be monitored more frequently. A medical professional can accept alerts regarding prediction of deterioration, causing a prophylactic transfer or increased monitoring, or a transfer or monitoring order can occur automatically. Data relating to all patients in a unit of a medical facility can be viewed including warnings relating to risk of transfer or deterioration, so that a medical facility can intervene prior to an event such as a cardiac event and/or plan to accommodate patients at higher levels of care or monitoring.
A61B 5/00 - Measuring for diagnostic purposes ; Identification of persons
G16H 50/20 - ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment
G16H 80/00 - ICT specially adapted for facilitating communication between medical practitioners or patients, e.g. for collaborative diagnosis, therapy or health monitoring
G16H 40/63 - ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for local operation
G16H 40/67 - ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for remote operation
G16H 40/20 - ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
G16H 10/60 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
21.
AUTOMATED WORKFLOW ACCESS BASED ON CLINICAL USER ROLE AND LOCATION
Systems, methods, computer-readable media for automating displays based on admissions, transfers, and discharges are provided. In embodiments, a location associated with a clinician is detected. A role associated with the clinician authenticated to a first device is determined. One or more applications associated with the clinician based on the location and the role is automatically launched on the first device. In embodiments, authentication requests from the clinician are received for a second device. A session associated with the one or more applications is suspended on the first device and resumed on the second device.
G06F 3/023 - Arrangements for converting discrete items of information into a coded form, e.g. arrangements for interpreting keyboard generated codes as alphanumeric codes, operand codes or instruction codes
G16H 10/60 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
G16H 40/20 - ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
A61B 34/10 - Computer-aided planning, simulation or modelling of surgical operations
22.
COMPUTER MODELING AND EVALUATION OF INSURANCE PRICING AND RISK
Systems, methods and computer-readable media are provided for determining a premium for a proposed insurance coverage. In various embodiments, a plurality of context variables can be defined related to proposed coverage. Based on defined context variables, historical claim events are extracted from one or more sources of claims data. Extracted historical claim events may be representative of the proposed coverage. Historical claim events can be aggregated based on a time period to form aggregated claims data per time period. The aggregated data can then be used to determine a historical volatility time series based on differences between logarithms of the aggregated claims data per time period for a plurality of time periods. Additionally or alternately, the aggregated claims data per time period can be used to determine a fit of the aggregated data to one or more distributions. The fit can be evaluated, such as based on a fit parameter, to select a distribution. A calculation can then be performed to determine a premium. If a normal distribution is selected, the historical volatility time series can be used to estimate a volatility. This estimated volatility can then be used to calculate a premium.
G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment
23.
Decision support system for anticipating a myocardial ischemic event
A catastrophe-theoretic approach is provided for predicting an occurrence of an ischemic myocardial event (e.g., acute myocardial infarction) for a human patient based on a time series of monitored vital signs values measured from a patient, and in some instances, for providing advanced notice to clinicians or caregivers when such an ischemic event is forecasted or modifying treatment for the patient, according to the predicted likelihood. In particular, an ischemic heart disease management system is provided for determining a likelihood of near-term future significant myocardial ischemia in persons with coronary artery disease. Embodiments of the disclosure described herein may provide a forecasted risk for future significant myocardial ischemia within a time horizon comprising a future time interval. In one embodiment, the future time interval is from 30 min to approximately 4 hours into the future, and may be dependent on the frequency of vital signs measurements.
A61B 5/02 - Measuring pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography; Heart catheters for measuring blood pressure
A61B 5/00 - Measuring for diagnostic purposes ; Identification of persons
A61B 5/145 - Measuring characteristics of blood in vivo, e.g. gas concentration, pH-value
A61B 5/0205 - Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
A61B 5/021 - Measuring pressure in heart or blood vessels
Methods, computer-readable storage media, and systems for visually grouping related diagnoses and/or encounter/visit data together to provide treatment providers and patients with a summarized view of a patient's treatment per condition and how that treatment has changed over time are provided. Also provided are methods, computer-readable storage media, and systems for conflating related diagnoses and/or encounter data into a visual representation that summarizes a patient's treatment per condition and provides quickly discernible insight into how such treatment has changed over time.
G16H 15/00 - ICT specially adapted for medical reports, e.g. generation or transmission thereof
G16H 70/20 - ICT specially adapted for the handling or processing of medical references relating to practices or guidelines
G16H 50/70 - ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients
G16H 30/20 - ICT specially adapted for the handling or processing of medical images for handling medical images, e.g. DICOM, HL7 or PACS
A computerized method is presented for improving medical records of an individual based on received information from a device or wearable, the method comprising: retrieving from a record-keeping database medical-related information associated with the individual; retrieving from a device associated with the individual a measurable factor; determining, based at least partly on the medical-related information, that the measurable factor poses a medical risk to the individual; and communicating instructions to the record-keeping database to store, in association with the individual, information related to the medical risk. Other methods may associate a location with a medical risk. Other methods may aggregate medical information received from devices or wearables and associate it with a location. Mapping this information with regard to locations may allow early prediction of an epidemic.
G16H 10/60 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment
26.
METHODS AND SYSTEM FOR HEMORRHAGE-SPECIFIC DETERMINATIONS
Methods and a system are provided for assessing postpartum hemorrhage risk and postpartum hemorrhage stages in a clinical setting. Generally, a clinician may indicate that the mass of several bloody items, indicated in type and quantity, is to be measured using a scale. The mass of bloody items is compared to the known unused dry mass of such items in order to accurately determine the quantitative blood loss (QBL) of a patient at the bedside. The cumulative QBL can be updated by weighing additional items. Based on the cumulative QBL, the patient's vital signs, and other factors, a corresponding hemorrhage stage is identified and communicated to the clinician. Recommendations specific to the hemorrhage stage are provided to a clinician. Some recommendations are selectable actions that trigger automatic placement of medical orders and notifications to relevant medical services, such as a blood bank or anesthesia.
A61B 5/02 - Measuring pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography; Heart catheters for measuring blood pressure
G16H 10/60 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment
G01G 19/00 - Weighing apparatus or methods adapted for special purposes not provided for in groups
27.
VIRTUAL AUGMENTATION OF CLINICAL CARE ENVIRONMENTS
Systems and methods for employing virtual environmental augmentation in clinical care environments to enhance a clinician's in-the-moment knowledge, leverage past experiences of the clinician and others, and improve the quality of patient care are provided. Such virtual environmental augmentation may align with prior-established, evidence-based clinical processes and enhance the clinician's in-the-moment knowledge by extracting relevant data from one or more clinical sources and presenting a virtual representation of at least a portion of the extracted data (or a summary, exemplification, or interpretation thereof) in the clinician's field-of-view while the clinician is present in a clinical care environment and is utilizing an environmental augmentation device. Such environmental augmentation additionally may facilitate real-time documentation enabling more complete clinical records and ultimately improving the quality of patient care.
G16H 30/40 - ICT specially adapted for the handling or processing of medical images for processing medical images, e.g. editing
G16H 40/20 - ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
G16H 30/20 - ICT specially adapted for the handling or processing of medical images for handling medical images, e.g. DICOM, HL7 or PACS
Systems and methods are provided for injury characterization including detecting matches of an individual subject's record (such as an athlete's record) with collections of other subjects records, based on serial, longitudinal patterns, for facilitating athlete health and training, preventive and rehabilitation medicine, and risk management in athletics. In an embodiment, time series are formed from information pertaining to successive longitudinal episodes of injury and the circumstances in which the injuries were incurred; calculating time-series K-nearest-neighbor clusters and distances for each such combination; determining the cluster to which a given candidate player injury record is nearest or belongs, and prescribing an injury-risk reduction intervention specific to the plurality of hazards that are characteristic of trajectories that are members of that cluster and that are deemed to be relevant to reducing or mitigating those hazards and thereby are efficacious in preventing subsequent injuries that are prevalent in that trajectory cluster.
G16H 40/20 - ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment
29.
Proximity-based mobile-device updates of electronic health records
A system, method, and computer-readable media are provided for facilitating clinical decision making, and in particular, decision making based on a third party's clinical situation by determining and providing useful, up-to-date information, such as patient-related information to a decision maker. In one embodiment, a user first identifies an information item concerning a patient. Based on that item, a set of related information items is determined and prioritized, and a reference pointer, which identifies the set of related information, is generated. The reference pointer is communicated to the user's mobile device. Subsequently, the user's mobile device requests information from the set of information items associated with the reference pointer, and provides information authorization information. Following authentication of the user's credentials, updates of information from the set of information items may be communicated to the user's mobile device as they become available.
G16H 10/65 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records stored on portable record carriers, e.g. on smartcards, RFID tags or CD
G16H 10/60 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
G16H 40/63 - ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for local operation
G06F 21/62 - Protecting access to data via a platform, e.g. using keys or access control rules
G06F 16/90 - Information retrieval; Database structures therefor; File system structures therefor - Details of database functions independent of the retrieved data types
G06F 16/955 - Retrieval from the web using information identifiers, e.g. uniform resource locators [URL]
A stateless, on-demand semantic indexing and search service for a health information exchange is provided that anticipatorily fetches data from one or more external sources, extracts semantic concepts from textual documents, and serves an in-memory semantic search index to users to ease finding of relevant patient data across a set of distributed health record data sources. Clinicians may search for not only text, but for semantic concepts, and the search index is able to return relevant results regardless of whether the source information is located inside or outside the local electronic health record. Predictive algorithms may be incorporated to pre-fetch, semantically process and index data for patients likely to be searched in an upcoming time window. Activity indicators for clinicians and patients may be utilized to pre-fetch, semantically process, and index data.
G16H 10/60 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
G06F 16/22 - Indexing; Data structures therefor; Storage structures
G06F 16/31 - Indexing; Data structures therefor; Storage structures
Methods, systems and computer storage media are disclosed for providing resources to a platform issue. Embodiments describe associating educational resources and an event resource to resolve the platform issue.
G16H 10/60 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
G06Q 10/06 - Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
The federal government requires organizations it partners with to comply with a higher level of security requirements and issues guideline detailing vulnerabilities within computer systems, assessments to be conducted, and security requirements. Previously, the security assessments required to be in compliance with the government's security requirements were mostly conducted manually, creating a labor and time intensive process. The present disclosure provides computerized systems and methods that intelligently and dynamically conduct automatic security assessments to determine security compliance for one or more applications. These systems and methods significantly improve the security assessment process and result in significant savings of time, labor, and money. The system receives the security requirements, identifies one or more applications to undergo a security assessment, generates a script comprising commands for conducting an automatic assessment of the one or more applications, conducts the security assessments on the one or more applications, determines whether the one or more application are in compliance with the security requirements and generates a report comprising the security assessment findings.
Methods, systems, and computer-readable media are provided for communicating healthcare-related information in languages specified by communication recipients (e.g., patients and/or patient proxies) utilizing a healthcare IT platform. Aspects herein provide a tool for applying language maps specific to patient-specified languages to information associated with one or more segments of Health Level 7 (HL7) messages to generate communications that can be consumed and understood by communication recipients regardless of the language in which such communication recipients prefer to communicate and whether or not a communication recipient's preferred language is the same as that of a communicating healthcare provider or organization.
Methods, systems and computer storage media are disclosed for providing resources to a platform issue. Embodiments describe associating educational resources and an event resource to resolve the platform issue.
G06Q 10/06 - Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
G16H 10/60 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
35.
SYSTEM AND METHOD FOR ADOPTION TRACKING AND INTERVENTION FOR CONVERSION ACHIEVEMENT
Methods, systems and computer storage media are disclosed for providing resources to a platform issue. Embodiments describe associating educational resources and an event resource to resolve the platform issue.
G06Q 10/06 - Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
G16H 10/60 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
36.
SYSTEM AND METHOD FOR NEW ISSUE MANAGEMENT FOR CONVERSION ACHIEVEMENT
Methods, systems and computer storage media are disclosed for providing resources to a platform issue. Embodiments describe associating educational resources and an event resource to resolve the platform issue.
G06Q 10/06 - Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
G16H 10/60 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
Methods, computer systems, and computer storage media are provided that provide an interactive web-based alerts system. The system provides a combination of features including a mail application and a dashboard for reporting. Initially, automated emails sent from a plurality of sources are received and stored in a database. The automated emails are classified based on criteria including source, subject line, acknowledgement, and/or status. Using these classifications, various reports can be generated to provide insight into the alert quality and quantity. A dashboard interface displays the classified alerts and enables various interactions with the classified plurality of alerts. Based on the interactions, the dashboard interface is automatically updated, in real-time. In some embodiments, the interactions comprise causing an incident to be created for the alert, causing a category of the alert to be updated, or causing a shift report to be generated.
A decision support tool is provided for identifying and assisting clinicians with patient ventilator asynchrony. The information used to make the identification may include data from a patient's ventilator including the volume, flow, and pressure associated with that ventilator. At least some of this information may be used to compute one or more features for a time series of the data received for the patient. These features may be used in connection with heuristic rules and machine learning algorithms to identify instances of patient ventilator asynchrony. Based on the identification, one or more intervening actions may be initiated to reduce the impact of patient ventilator asynchrony.
G16H 50/20 - ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
G16H 40/20 - ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
G16H 10/60 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
G16H 40/67 - ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for remote operation
G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment
G16H 50/70 - ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients
G16H 20/40 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to mechanical, radiation or invasive therapies, e.g. surgery, laser therapy, dialysis or acupuncture
Systems, methods, and computer-readable media for providing an interactive healing environment to a patient are provided. Servers in a network may operate a set of modules to communicate with a client device of the patient. The set of modules may operate to enhance communication between the patient and the healthcare providers of patient in the healthcare facility. The modules may also interact with medical devices associated with the patient. The medical devices may be connected to a component, such as a bus, that receives data from the medical devices and determines where the data should be sent.
G16H 10/60 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
G16H 40/20 - ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
G06F 16/9535 - Search customisation based on user profiles and personalisation
G06Q 10/06 - Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
G16H 10/20 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for electronic clinical trials or questionnaires
G16H 10/65 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records stored on portable record carriers, e.g. on smartcards, RFID tags or CD
G16H 40/67 - ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for remote operation
G16Z 99/00 - Subject matter not provided for in other main groups of this subclass
H04L 29/08 - Transmission control procedure, e.g. data link level control procedure
40.
Generation of synthetic alerts and unified dashboard for viewing multiple layers of data center simultaneously
Systems and methods provide for automatically generating a data model that includes a first data feed conforming to industry standards where only alerts for alert triggering violations are provided. The data model further comprises a second data feed that includes both the alerts from the first data feed and a plurality of synthetic alerts for any violations that occur in a data center but do not qualify as alert triggering violations. This second data feed provides a complete picture of the performance of a data center's devices and allows for accurate analytics.
Embodiments herein disclose systems, methods, and computer-readable media for intelligently monitoring radiation exposure values. The intelligent monitoring can monitor an amount of radiation a clinician is exposed to (via exams already performed) and identify how much radiation is acceptable for continued exposure before exceeding an exposure threshold value within a predetermined time period. Additionally, the system described herein can provide insights into how many procedures of a particular type a clinician is available to complete before expiration of the predetermined time period. The monitoring data can be provided via a graphical user interface and can be integrated into a scheduling system, an electronic health records system, etc., to provide meaningful insights for resource management.
G16H 40/20 - ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
G16H 40/63 - ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for local operation
G16H 10/60 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
G16H 50/20 - ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
A61B 6/00 - Apparatus for radiation diagnosis, e.g. combined with radiation therapy equipment
The technology disclosed relates to generating automated test plan scripts. A selection of a first test plan to automate is received. Test scripts and data from a repository are retrieved and the test scripts and the data correspond to the first test plan. Test steps of the first test plan are performed. A prediction of a reusable component for a particular test step or test validation is provided for each of the test steps. A selection of at least one prediction for at least one of the test steps is received. An automated test plan script corresponding to the selection of the at least one prediction is generated.
Optimizing psychiatric and physiologic monitoring of a patient having PTSD or anxiety-related mental health condition. According to an embodiment, one or more physiological variables are longitudinally measured; resting heart rate is measured from which a timeseries is constructed; outlier anomalous values are removed from the timeseries, it is de-trended and/or de-meaned; and a serial normal sinus rhythm beats (SDNN) and/or other parameters are determined. Fractal properties of the serial SDNN values are calculated, such as the Hurst exponent alpha via detrended fluctuation analysis (DFA) or spectral regression; and other measures of chaos and nonlinearity are calculated, such as the Shannon entropy of the SDNN or related timeseries. Where such measures indicate a statistically-significant transgression of a context-indexed reference range, a notification is provided to a case management clinician or caregiver so that appropriate additional evaluation and diagnosis and treatment may be undertaken.
Technologies are provided for determining deficiencies in narrative textual data that may impact decision-making in a decisional context. A candidate text document and a reference corpus of text may be utilized to generate one or more topic models and document-term matrices, and then to determine a corresponding statistical perplexity and probabilistic coherence. The reference corpus may be known or normatively deemed to be epistemically persuasive and adequate with respect to a particular context. Statistical determinations of a degree to which the candidate deviates from the reference normative corpus are determined, in terms of the statistical perplexity and probabilistic coherence of the candidate as compared to the reference. If the difference is statistically significant, a message may be reported to user, such as the author or an auditor of the candidate text document, so that the user has the opportunity to amend the candidate document so as to improve its adequacy for the decisional purposes in the context at hand.
G16H 10/60 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
45.
Clinical decision support system using phenotypic features
Systems, methods, and computer-readable storage media are provided for determining and ascribing clinical conditions or diagnoses to patients and provide them to a caregiver, such as attending clinicians or other appropriate health services personnel. In particular, embodiments of the disclosure determine likely phenotypic findings that are salient to the decision-making context for a current human patient, based on anticipative sequence-mining and trajectory-mining. A sequential pattern mining and sequence itemset matching system is provided for determining likely, temporally-relevant concepts that are manifested in the information that is produced during the course of a patient's care. A clinician or caregiver may be provided the sequence itemset matching by generating a list or notice. In addition or alternatively, the results may be stored in an EHR associated with the patient.
G16H 50/20 - ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
G16H 10/60 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
G16H 50/70 - ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients
Systems and methods provide for implementation of a messaging protocol that provides security necessary for clinical messaging while also providing scalability needed to properly function within a clinical setting. The messaging protocol provides for federation of messages across messaging domains with a direct target address or via a role or group endpoint address that resolves to one or more target addresses. The messaging protocol also provides the ability to include content other than text in messages.
G16H 10/60 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
H04L 29/06 - Communication control; Communication processing characterised by a protocol
G06F 21/62 - Protecting access to data via a platform, e.g. using keys or access control rules
H04L 29/08 - Transmission control procedure, e.g. data link level control procedure
47.
COMPUTERIZED SYSTEM AND METHOD FOR MODIFYING COMPONENTS OF HEALTHCARE ORDERS WHICH ARE ASSOCIATED INTO CROSS-PHASE GROUPS
Computerized methods for modifying at least one component of a clinical order are provided. The methods may include receiving a clinical order, the clinical order having a first component associated with a first phase and a second component associated with a second phase, wherein the first and second components have a first attribute in common, receiving an indication to modify the first attribute of the first component, and modifying the first attribute of the first component and the second component based on the indication received. The methods may further include associating the first and second components of the clinical order to form a cross-phase group and displaying the first and second components in association with an electronic record, e.g., an electronic medical record, in conjunction with a cross-phase group identifier to identify the components as members of the cross-phase group. Computerized systems for performing the disclosed methods are also provided.
G06Q 10/10 - Office automation, e.g. computer aided management of electronic mail or groupware; Time management, e.g. calendars, reminders, meetings or time accounting
G16H 10/60 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
G16H 20/10 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to drugs or medications, e.g. for ensuring correct administration to patients
48.
Insurance risk scoring based on credit utilization ratio
Systems and methods are provided for the problem of automatic, algorithm-guided estimation of insurance loss ratio, claims frequency, the probability of excess claims, and other insurance policy performance characteristics for an individual insured or for groups of insured individuals. A time-series-derived Bayesian power spectrum weight is calculated from the frequency of temporal pattern-specific values in terms of intensities at various frequencies of the power spectrum computed from credit utilization ratio (CUR; outstanding balance of debt, as a percentage of credit line available) time-series obtained by the insurer by ‘soft pull’ inquiries submitted periodically to credit-rating agencies, and provides an opportunity to capture and measure the relative magnitude of frequent or unexpected changes in consumer liquidity. The present technology provides a system and method for classifying insurance risk, for insurance risk scoring, or for incorporating a power-spectrum-based temporal pattern-specific weight into an actuarial method to enhance the loss ratio estimation accuracy and statistical financial performance of insurance products and health plans.
Methods, computer systems, and computer storage media are provided that enables clinicians to create and interact with snapshots of critical clinical/non-clinical information that is readily accessible in future visits. Initially, an indication to create a key note corresponding to a clinical note of a patient encounter for a patient is received. A selection of a key note section that will be associated with the key note is also received. Upon the clinical note being signed, the key note is created and saved. Upon receiving a request from a user, a key note window is provided in a user interface. The user interface enables the user to expand a header corresponding to a particular key note to display details associated with the corresponding encounter. A hyperlink to original summary notes from which the particular key note was created may be provided by the user interface.
G16H 10/60 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
G06F 9/451 - Execution arrangements for user interfaces
H04L 29/08 - Transmission control procedure, e.g. data link level control procedure
G06F 3/0482 - Interaction techniques based on graphical user interfaces [GUI] based on specific properties of the displayed interaction object or a metaphor-based environment, e.g. interaction with desktop elements like windows or icons, or assisted by a cursor's changing behaviour or appearance interaction with lists of selectable items, e.g. menus
50.
SYSTEMS, METHODS, AND STORAGE MEDIA FOR CONDUCTING SECURITY PENETRATION TESTING
Methods, systems, and computer-readable media are disclosed herein that conduct security penetration testing. In accordance with embodiments, a security extension is run in a web browser in order to record a user interface workflow and to generate a test script of the user interface workflow. The test script is executed in an application in order to perform penetration testing of the user interface workflow, in some embodiments. Based on the outcomes of the penetration testing, a security report may be generated in order to identify one or more security vulnerabilities in the user interface workflow.
09 - Scientific and electric apparatus and instruments
42 - Scientific, technological and industrial services, research and design
Goods & Services
Computer software for use in the healthcare field, namely, for patient registration, admission discharge and transfer of patients, AUTOMATING BILLING PROCESSES, patient accounting, SUBMITTING CLAIMS to insurance companies or other payors of healthcare services, reimbursement management, and INTEGRATING FINANCIAL INFORMATION Providing online, non-downloadable software in the healthcare field, namely, providing a software platform for patient registration, admission discharge and transfer of patients, AUTOMATING BILLING PROCESSES, patient accounting, SUBMITTING CLAIMS to insurance companies or other payors of healthcare services, reimbursement management, and INTEGRATING FINANCIAL INFORMATION
52.
Discovering context-specific complexity and utilization sequences
Systems, methods, and computer-readable media are provided for patient case and care complexity characterization, and detecting matches of an individual patient's record with collections of other patients' records, based on serial, longitudinal patterns, for facilitating efficient health services utilization, implementing programs to reduce complexity, preventive medicine, and risk management in health care. In an embodiment, time series are formed by electronically representing information pertaining to successive longitudinal episodes of health services utilization and the circumstances in which the episodes were incurred; calculating time-series K-nearest-neighbor clusters and distances for each combination; determining the cluster to which a given candidate patient complexity record is nearest, and prescribing one or more interventions specific to the plurality of hazards that are characteristic of trajectories that are members of that cluster, or that are deemed to be relevant to mitigating those hazards, thereby preventing the adverse outcomes and subsequent excess utilization that are prevalent in that cluster.
G16H 20/10 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to drugs or medications, e.g. for ensuring correct administration to patients
G16H 10/60 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
G16H 50/20 - ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
A decision support tool is provided for predicting the neonatal vitality scores of a fetus during delivery, the scores being an indicator of future health for the infant anticipated to be born within a future time interval, measured as time to birth. The predicted neonatal vitality score is determined from measurements of physiological variables monitored during labor, such as uterine activity and fetal heart rate. Fetal heart rate variability and patterns may be detected and computed using the monitored physiological variables, and neonatal vitality scores may be predicted based, at least in part, on the variability metrics and fetal heart rate patterns. Scores may be predicted for different delivery methods, such as vaginal delivery or cesarean delivery, for different time-to-birth intervals. In this way, these scores may be used for decision support for care plans during labor, such as increased monitoring and/or modifying the delivery type.
A system, method, and computer-readable media are provided for facilitating clinical decision making, and in particular, decision making based on a third party's clinical situation by determining and providing useful, up-to-date information, such as patient-related information to a decision maker. In one embodiment, a user first identifies an information item concerning a patient. Based on that item, a reference pointer, which identifies the information item, is generated. The reference pointer is communicated to the user's mobile device. Subsequently, the user's mobile device receives updates related to the reference pointer.
G06F 21/62 - Protecting access to data via a platform, e.g. using keys or access control rules
G16H 10/60 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
G06F 16/90 - Information retrieval; Database structures therefor; File system structures therefor - Details of database functions independent of the retrieved data types
H04L 29/06 - Communication control; Communication processing characterised by a protocol
G16H 10/65 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records stored on portable record carriers, e.g. on smartcards, RFID tags or CD
G16H 50/20 - ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
G06K 7/10 - Methods or arrangements for sensing record carriers by corpuscular radiation
G06F 16/955 - Retrieval from the web using information identifiers, e.g. uniform resource locators [URL]
A method and system for performing queries on a consolidated log directory for multiple servers in a client environment is provided. The log analysis application provides a single login for a user into multiple servers in a client environment. This allows the user to quickly and efficiently navigate client servers and client error log files to troubleshoot and perform pre-configured queries on the log files and client data.
Embodiments relate to systems and methods that retrieve dialogue data associated with a plurality of utterances. The plurality of utterances include a first utterance. The systems and methods further determine that a target concept, of the dialogue data, is in a first dialogue segment associated with the first utterance. Additionally, the target concept is determined based on the first utterance in the first dialogue segment having a highest weight for relevancy to a knowledge domain. Further, the methods and systems determine a dialogue goal comprising the target concept. Due to the dialogue goal comprising the target concept, a structured link associating the target concept to the dialogue goal is generated.
09 - Scientific and electric apparatus and instruments
42 - Scientific, technological and industrial services, research and design
Goods & Services
Computer software for use in the healthcare field, namely, for patient registration, admission discharge and transfer of patients, AUTOMATING BILLING PROCESSES, patient accounting, SUBMITTING CLAIMS to insurance companies or other payors of healthcare services, reimbursement management, and INTEGRATING FINANCIAL INFORMATION Providing online, non-downloadable software in the healthcare field, namely, providing a software platform for patient registration, admission discharge and transfer of patients, AUTOMATING BILLING PROCESSES, patient accounting, SUBMITTING CLAIMS to insurance companies or other payors of healthcare services, reimbursement management, and INTEGRATING FINANCIAL INFORMATION
58.
Specimen integrity monitoring device for automated blood sample processing systems
Systems, methods, devices, and apparatus for detecting sample defects in blood samples processed in automated processing systems are described herein. One aspect describes an automated blood sample processing apparatus having a pre-analytic specimen integrity monitoring device. Another aspect describes devices, systems, and methods for identifying blood components and properties in blood samples. Further aspects relate to systems and methods for setting reference ranges for sample defects and interference in blood samples. Additionally, devices, systems, and methods for identifying defective samples are described.
G01N 35/04 - Automatic analysis not limited to methods or materials provided for in any single one of groups ; Handling materials therefor using a plurality of sample containers moved by a conveyor system past one or more treatment or analysis stations - Details of the conveyor system
G01N 35/00 - Automatic analysis not limited to methods or materials provided for in any single one of groups ; Handling materials therefor
G01N 33/49 - Physical analysis of biological material of liquid biological material blood
59.
Specimen integrity monitoring device for automated blood sample processing systems
Systems, methods, devices, and apparatus for detecting sample defects in blood samples processed in automated processing systems are described herein. One aspect describes an automated blood sample processing apparatus having a pre-analytic specimen integrity monitoring device. Another aspect describes devices, systems, and methods for identifying blood components and properties in blood samples. Further aspects relate to systems and methods for setting reference ranges for sample defects and interference in blood samples. Additionally, devices, systems, and methods for identifying defective samples are described.
G01N 35/04 - Automatic analysis not limited to methods or materials provided for in any single one of groups ; Handling materials therefor using a plurality of sample containers moved by a conveyor system past one or more treatment or analysis stations - Details of the conveyor system
G01N 35/00 - Automatic analysis not limited to methods or materials provided for in any single one of groups ; Handling materials therefor
G01N 33/49 - Physical analysis of biological material of liquid biological material blood
Methods, systems, and computer-readable media are provided for recreating a state of a clinical computing system for indicating that a specific activity corresponding to a patient increased prior to an event. Sets of data elements for a patient are extracted from the clinical computing system. State changes for each data element are identified. The state of the clinical computing system is recreated prior to the event by concatenating the sets of data elements based on the state changes for each respective data element.
G06Q 10/06 - Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
G16H 10/20 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for electronic clinical trials or questionnaires
G16H 10/40 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for data related to laboratory analysis, e.g. patient specimen analysis
G16H 20/10 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to drugs or medications, e.g. for ensuring correct administration to patients
Methods, computer systems, and computer storage media are provided for enabling the reuse of data structures, data processing, data cleaning, data mapping, analytic concepts, analytic widgets, logic, and graphical components to efficiently provide custom insights to new areas. Additionally, the reuse of data structures, data processing, data cleaning, data mapping, analytic concepts, analytic widgets, logic, and graphical components created for a single model can also be reused components across new models, which enables new models to be efficiently created for a completely separate set of analytics. A model is inimitably created by creating, cleaning, and/or mapping a data concept and creating widgets that provide analytic capabilities for the model. These data concepts and widgets are specifically designed to be reused across models and model instances for a plurality of clients or users. Any data concepts and widgets of the model can also be modified to provide a customized solution.
09 - Scientific and electric apparatus and instruments
42 - Scientific, technological and industrial services, research and design
Goods & Services
(1) Computer software for use in data aggregation, normalization, integration and analysis, data mining and predictive analytics of pharmaceutical, healthcare and life sciences information; Computer software for analyzing data related to patient registries, clinical trials, clinical research and patient management in the pharmaceutical, healthcare and life sciences fields (1) Providing online, non-downloadable software in the healthcare field, namely, providing a software platform for members to access de-identified health data of individuals for collaboration and research purposes; Providing online, non-downloadable software for use in data aggregation, normalization, integration and analysis, data mining and predictive analytics of pharmaceutical, healthcare, and life sciences information; Providing online, non-downloadable software for analyzing data related to patient registries, clinical trials, clinical research and patient management in the pharmaceutical, healthcare, and life sciences fields; the provision of data as a service, namely, providing temporary use of online non-downloadable software for inputting, accessing, viewing, processing and analyzing health data of individuals and patient populations; Computer services, namely, designing, developing and managing application software related to pharmaceutical, healthcare and life sciences information; data aggregation, normalization, integration and analysis, data mining and predictive analytics services for pharmaceutical, healthcare, and life sciences companies
09 - Scientific and electric apparatus and instruments
42 - Scientific, technological and industrial services, research and design
Goods & Services
(1) Computer software for use in data aggregation, normalization, integration and analysis, data mining and predictive analytics of pharmaceutical, healthcare and life sciences information; Computer software for analyzing data related to patient registries, clinical trials, clinical research and patient management in the pharmaceutical, healthcare and life sciences fields (1) Providing online, non-downloadable software in the healthcare field, namely, providing a software platform for members to access de-identified health data of individuals for collaboration and research purposes; Providing online, non-downloadable software for use in data aggregation, normalization, integration and analysis, data mining and predictive analytics of pharmaceutical, healthcare, and life sciences information; Providing online, non-downloadable software for analyzing data related to patient registries, clinical trials, clinical research and patient management in the pharmaceutical, healthcare, and life sciences fields; the provision of data as a service, namely, providing temporary use of online non-downloadable software for inputting, accessing, viewing, processing and analyzing health data of individuals and patient populations; Computer services, namely, designing, developing and managing application software related to pharmaceutical, healthcare and life sciences information; data aggregation, normalization, integration and analysis, data mining and predictive analytics services for pharmaceutical, healthcare, and life sciences companies
09 - Scientific and electric apparatus and instruments
42 - Scientific, technological and industrial services, research and design
Goods & Services
Computer software for use in data aggregation, normalization, integration and analysis, data mining and predictive analytics of pharmaceutical, healthcare and life sciences information; Computer software for analyzing data related to patient registries, clinical trials, clinical research and patient management in the pharmaceutical, healthcare and life sciences fields. Providing online, non-downloadable software in the healthcare field, namely, providing a software platform for members to access de-identified health data of individuals for collaboration and research purposes; Providing online, non-downloadable software for use in data aggregation, normalization, integration and analysis, data mining and predictive analytics of pharmaceutical, healthcare, and life sciences information; Providing online, non-downloadable software for analyzing data related to patient registries, clinical trials, clinical research and patient management in the pharmaceutical, healthcare, and life sciences fields; the provision of data as a service, namely, providing temporary use of online non-downloadable software for inputting, accessing, viewing, processing and analyzing health data of individuals and patient populations; Computer services, namely, designing, developing and managing application software related to pharmaceutical, healthcare and life sciences information; data aggregation, normalization, integration and analysis, data mining and predictive analytics services for pharmaceutical, healthcare, and life sciences companies.
09 - Scientific and electric apparatus and instruments
42 - Scientific, technological and industrial services, research and design
Goods & Services
Computer software for use in data aggregation, normalization, integration and analysis, data mining and predictive analytics of pharmaceutical, healthcare and life sciences information; Computer software for analyzing data related to patient registries, clinical trials, clinical research and patient management in the pharmaceutical, healthcare and life sciences fields. Providing online, non-downloadable software in the healthcare field, namely, providing a software platform for members to access de-identified health data of individuals for collaboration and research purposes; Providing online, non-downloadable software for use in data aggregation, normalization, integration and analysis, data mining and predictive analytics of pharmaceutical, healthcare, and life sciences information; Providing online, non-downloadable software for analyzing data related to patient registries, clinical trials, clinical research and patient management in the pharmaceutical, healthcare, and life sciences fields; the provision of data as a service, namely, providing temporary use of online non-downloadable software for inputting, accessing, viewing, processing and analyzing health data of individuals and patient populations; Computer services, namely, designing, developing and managing application software related to pharmaceutical, healthcare and life sciences information; data aggregation, normalization, integration and analysis, data mining and predictive analytics services for pharmaceutical, healthcare, and life sciences companies.
66.
INTELLIGENT USER INTERFACE AND APPLICATION RENDERING
A user request is received to access one or more resources. In response to the receiving and as a first background task, one or more remote data sources are queried for information associated with a user of the user request. The information from the one or more remote data sources are obtained. One or more portions of a user interface are caused to be generated based at least on the obtained information and as a second background task.
G06F 3/0484 - Interaction techniques based on graphical user interfaces [GUI] for the control of specific functions or operations, e.g. selecting or manipulating an object or an image, setting a parameter value or selecting a range
G06F 9/451 - Execution arrangements for user interfaces
G06F 16/9535 - Search customisation based on user profiles and personalisation
09 - Scientific and electric apparatus and instruments
42 - Scientific, technological and industrial services, research and design
Goods & Services
Computer software for use in data aggregation, normalization, integration and analysis, data mining and predictive analytics of pharmaceutical, healthcare and life sciences information; Computer software for analyzing data related to patient registries, clinical trials, clinical research and patient management in the pharmaceutical, healthcare and life sciences fields Providing online, non-downloadable software in the healthcare field, namely, providing a software platform for members to access de-identified health data of individuals for collaboration and research purposes; Providing online, non-downloadable software for use in data aggregation, normalization, integration and analysis, data mining and predictive analytics of pharmaceutical, healthcare, and life sciences information; Providing online, non-downloadable software for analyzing data related to patient registries, clinical trials, clinical research and patient management in the pharmaceutical, healthcare, and life sciences fields; the provision of data as a service, namely, providing temporary use of online non-downloadable software for inputting, accessing, viewing, processing and analyzing health data of individuals and patient populations; Computer services, namely, designing, developing and managing application software related to pharmaceutical, healthcare and life sciences information; data aggregation, normalization, integration and analysis, data mining and predictive analytics services for pharmaceutical, healthcare, and life sciences companies
68.
METHODS AND SYSTEMS FOR IDENTIFYING THE CROSSING OF A VIRTUAL BARRIER
Systems, methods and media are disclosed for identifying the crossing of a virtual barrier. A person in a 3D image of a room may be circumscribed by a bounding box. The position of the bounding box may be monitored over time, relative to the virtual barrier. If the bounding box touches or crosses the virtual barrier, an alert may be sent to the person being monitored, a caregiver or a clinician. Bounding box tracking may be used in addition to or instead of an initial tracking process, such as skeletal tracking.
09 - Scientific and electric apparatus and instruments
42 - Scientific, technological and industrial services, research and design
Goods & Services
Computer software for use in data aggregation, normalization, integration and analysis, data mining and predictive analytics of pharmaceutical, healthcare and life sciences information; Computer software for analyzing data related to patient registries, clinical trials, clinical research and patient management in the pharmaceutical, healthcare and life sciences fields Providing online, non-downloadable software in the healthcare field, namely, providing a software platform for members to access de-identified health data of individuals for collaboration and research purposes; Providing online, non-downloadable software for use in data aggregation, normalization, integration and analysis, data mining and predictive analytics of pharmaceutical, healthcare, and life sciences information; Providing online, non-downloadable software for analyzing data related to patient registries, clinical trials, clinical research and patient management in the pharmaceutical, healthcare, and life sciences fields; the provision of data as a service, namely, providing temporary use of online non-downloadable software for inputting, accessing, viewing, processing and analyzing health data of individuals and patient populations; Computer services, namely, designing, developing and managing application software related to pharmaceutical, healthcare and life sciences information; data aggregation, normalization, integration and analysis, data mining and predictive analytics services for pharmaceutical, healthcare, and life sciences companies
70.
Systems and methods for enhancing natural language processing
Methods and systems for enhanced natural language processing of clinical documentation are provided. Using natural language processing, a clinical condition is extracted from unstructured data within a current electronic document. A clinical ontology identifying itemsets associated with the clinical condition is retrieved, and indicators of relevant clinical concepts, as identified from the ontology, are searched from within the patient's longitudinal record, which comprises documentation from at least a prior encounter. Based on the whether the clinical concepts are present in the patent's record, a confidence is assigned to the NLP-extracted clinical condition, and one or more actions may be performed.
Systems, methods and computer-readable media are provided for applying Electronic Clinical Quality Measures (eCQM), Pay-for-Performance (P4P) measures, or Meaningful Use (MU) measures in human health care in a fantasy league health exchange. In an embodiment, a Bradley-Terry regression model is utilized to establish performance rankings of healthcare providers during a measurement period. The Bradley-Terry regression model may optionally be parallelized so as to determine statistical associations for factors such as clinician, care venue, and patient attributes. Statistical associations and coefficient values from the regressions are used to forecast or project a future period's performance results for selected individual or group competitors and to provide comparative rankings for purposes of informing decisions regarding draft picks, roster submission, or bets placed in a fantasy league exchange system for health services.
G16H 40/20 - ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
G16H 10/60 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
G16H 80/00 - ICT specially adapted for facilitating communication between medical practitioners or patients, e.g. for collaborative diagnosis, therapy or health monitoring
G16H 50/70 - ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients
G06Q 10/06 - Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
G07F 17/32 - Coin-freed apparatus for hiring articles; Coin-freed facilities or services for games, toys, sports, or amusements
G06Q 50/34 - Betting or bookmaking, e.g. Internet betting
A system, method, and computer-readable media are provided for facilitating clinical decision making, and in particular, facilitating treatment of a person having congestive heart failure. The method includes the step of receiving patient information for a patient. The method also includes the steps of determining whether the patient information suggests a trigger event, and upon determining a trigger event, determining at least one goal associated with the trigger event. The method also includes the steps of selecting a first plan, from a library of plans, corresponding to the goal and executing the plan, which further includes determining a solver to determine patient conditions or recommended treatments, receiving parameters for the determined solver, and preparing patient information for the determined solver. The method further includes instantiating the solver based on the received parameters and the prepared patient information, and applying the solver to determine a patient condition or recommended treatment.
G16H 50/20 - ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
73.
HEALTHCARE WORKFLOWS THAT BRIDGE HEALTHCARE VENUES
A computerized system customizes patient care workflows for health service providers. The system may extract essential details from various health service records for an individual, transform those details into standardized information, and use the standardized information to generate health service workflows that are particular to the patient. The health service workflows may be customized to a particular health service venue, a particular health service provider role, or even a particular health service provider.
G16H 40/20 - ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
G16H 10/60 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
A computer-implemented trading platform, system, and method are provided for facilitating the trading and accounting for health quality offsets. So-called “health quality credits” related to emissions of ‘potentially avoidable complications’ (PACs) or ‘potentially avoidable mortality’ (PAMs). Emissions trading or “cap-and-trade” is an administrative approach used to control emissions that degrade public-goods assets by providing economic incentives for achieving and sustaining economically significant reductions in the emissions of pollutants that impair public goods such as clean air or health. In one embodiment, a method of accounting for health quality offsets established in one or more offset markets includes registering a health quality offset to an owner thereof; assigning a unique identifier to the health quality offset; crediting a client account with the health quality offset; receiving notification of a trade between a buyer and a seller; if the seller has an amount of health quality offsets sufficient for the trade, adjusting buyer and seller accounts with corresponding credits and debits; otherwise, providing a notification of insufficient health quality offsets to carry out the trade.
Technologies are provided for determining an individual's likelihood of relapsing into prior behavior subsequent to a treatment for a mental health or addiction disorder, and in some instances predicting a likelihood time frame for such a relapse. Target subjects having a risk of addiction relapse, non-adherence to a treatment program, or absconding, may be automatically identified based on a multiplicative-regression model for relative survival (MRS) that is developed for predicting risk or likelihood of relapse or non-adherence. Further, in some embodiments, a leading indicator of near-term future abnormalities may be provided thereby proactively notifying supervisory personnel responsible for the person and providing such personnel with timely notice to enable effective corrective, preventive, or trend-modifying maneuvers to be undertaken.
G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment
G06F 17/18 - Complex mathematical operations for evaluating statistical data
A method and system for performing queries on a consolidated log directory for multiple servers in a client environment is provided. The log analysis application provides a single login for a user into multiple servers in a client environment. This allows the user to quickly and efficiently navigate client servers and client error log files to troubleshoot and perform pre-configured queries on the log files and client data.
A computer-implemented system, methods and computer storage media are provided for creating extensible data structures for rule based systems to improve complex event processing. An underlying individual data model is accessed and the content is translated to create singleton values to be utilized in complex event processing to improve the execution fo the complex event processing.
G06F 17/18 - Complex mathematical operations for evaluating statistical data
G06Q 50/24 - Patient record management (processing of medical or biological data for scientific purposes G06F 19/00)
G06F 19/00 - Digital computing or data processing equipment or methods, specially adapted for specific applications (specially adapted for specific functions G06F 17/00;data processing systems or methods specially adapted for administrative, commercial, financial, managerial, supervisory or forecasting purposes G06Q;healthcare informatics G16H)
G06Q 10/04 - Forecasting or optimisation, e.g. linear programming, "travelling salesman problem" or "cutting stock problem"
Embodiments relate to systems and methods that retrieve, from the one or more computer storage memory, dialogue data associated with a plurality of utterances from two or more entities. A target concept in one or more dialogue segments of the transcribed dialogue data can be determined, where the one or more dialogue segments comprising a first dialogue segment associated with a first utterance by a first entity, and where the first dialogue segment includes the target concept. A dialogue goal can be determined for the first dialogue segment comprising the target concept. In addition, a structured link can be generated, associating the extracted concept to the dialogue goal.
Systems, methods and computer-readable media are provided for determining appropriate staffing levels above acuity-based forecast baseline values, to provide compliance with regulatory ‘patient-to-nurse’ ratio thresholds within a given service level or statistical probability. A non-zero and optionally stochastically varying leadtime may be provided for sourcing nurses and may ascertain whether significant patient demand and labor supply chain interdependencies exist via the bullwhip ratio, using predictive modeling based on a ‘safety-stock-over-leadtime’ (SSL). Variations that may arise according to different healthcare institutions' policies for shift-bidding, scheduling, use of contract nursing resources, and other aspects, may be accounted for in the predictive models. Further, some embodiments include providing decision support recommendations for adjusting health services staff to evolving patient needs in near real-time, and may further include automatically scheduling these employees and/or notifying them of work schedule changes.
G16H 40/20 - ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment
Systems and methods are provided for evaluating an alarm condition for a monitored patient in a population of one or more patients. One or more physiological parameters pertaining to the patient, or physiological variables, are used to form a time series describing the patient status. A dimension parameter such as a time series roughness statistic or a fractal dimension is used to estimate a dimension decision statistic over time. The dimension decision statistic is used as a measure of physiological condition. The dimension decision statistic may be compared to a threshold to determine a region of operation for the dimension of the physiological variable. The dimension decision statistic is used in an embodiment in combination with the underlying raw physiological variable value to reduce the rate of false alarms, to increase the frequency of missed detections, and to aid diagnostic decision making and to aid the formation of a crisis action plan.
Aspects of the present disclosure determine a risk level of Polycystic Ovarian syndrome (“PCOS”). Alongside the risk level of PCOS, aspects of the present disclosure simultaneously display the risk level of PCOS with patient information, which may be useful for clinicians. Aspects include receiving patient information of a patient, determining a patient criteria is satisfied based on the patient information, and applying a predictive diagnosis model to the patient information to determine a risk level of PCOS.
G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment
G16H 50/20 - ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
G16H 50/70 - ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients
G16H 10/60 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
G16H 40/60 - ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices
Methods, computer systems, and computer storage media are provided for utilizing system diagnostics focused in areas of disruption to improve inventory and workforce management in a revenue cycle management system. Inventory input is received from a revenue cycle management system. The inventory input includes inventory in the revenue cycle management system, types of claims in the inventory, pair agreements of the claims, and a length of time the claims have been in the inventory. Workforce input is also received from the revenue cycle management system. The workforce input includes experience, type of education or technical training, specialty, and outcomes corresponding to a workforce of the client. A portion of the inventory is automatically assigned to an associate of the workforce. The portion of the inventory tailored to the associate based on the inventory input and the workforce input.
G16H 40/20 - ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
G06Q 10/10 - Office automation, e.g. computer aided management of electronic mail or groupware; Time management, e.g. calendars, reminders, meetings or time accounting
G06Q 10/06 - Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
Methods, computer systems, and computer storage media are provided for utilizing system diagnostics focused in areas of disruption to improve inventory and workforce management in a revenue cycle management system. Diagnostic data is utilized to automatically identify disruptions in the revenue cycle management system across a plurality of clients. The disruptions are automatically ranked based on an impact to the revenue cycle management system and a time required to execute a correction for each disruption. A recommendation is provided for the client to execute the correction for each disruption.
G16H 40/20 - ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
G06Q 10/06 - Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
G06Q 10/10 - Office automation, e.g. computer aided management of electronic mail or groupware; Time management, e.g. calendars, reminders, meetings or time accounting
G06Q 40/00 - Finance; Insurance; Tax strategies; Processing of corporate or income taxes
G16H 10/60 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
Methods, systems, and computer-readable media for patient-observer monitoring are provided herein. A method creates a reference model based on interaction data of previous patient-observers. The method determines an optimal value for alertness based on the reference model. The method detects interaction data for a particular patient-observer. The method calculates an alertness value for the particular patient-observer. The method generates a warning when the calculated alertness value does not satisfy the optimal value.
G16H 40/20 - ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
G16H 40/67 - ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for remote operation
G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment
G16H 50/70 - ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients
G16H 10/60 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
G06K 9/00 - Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
A61B 5/16 - Devices for psychotechnics; Testing reaction times
A61B 5/00 - Measuring for diagnostic purposes ; Identification of persons
A61B 5/11 - Measuring movement of the entire body or parts thereof, e.g. head or hand tremor or mobility of a limb
A61B 5/0205 - Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
Computerized systems and methods are provided for determining the risk of developing gestation diabetes mellitus (GDM) and assigning workflows based on such a determination. The systems and methods can include receiving medical information associated with an individual, determining whether the individual is at risk of developing GDM based on the received medical information, and performing one or more response actions. The one or more response actions can include assigning a workflow for preventative treatment of GDM, providing a notification that the individual is at risk of GDM, or a combination thereof.
G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment
G16H 10/60 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
A61B 5/145 - Measuring characteristics of blood in vivo, e.g. gas concentration, pH-value
A61B 5/00 - Measuring for diagnostic purposes ; Identification of persons
86.
SYSTEMS, METHODS, AND STORAGE MEDIA USEFUL IN A COMPUTER HEALTHCARE SYSTEM TO CONSUME CLINICAL QUALITY LANGUAGE QUERIES IN A PROGRAMMATIC MANNER
Systems, methods, and storage media useful in a computer healthcare system to consume clinical quality language queries in a programmatic manner are disclosed. Exemplary implementations may: load a CQL query from a third party; transform the CQL query to a modified structured query language query; load medical data elements from a database record store for each patient in one or more defined patient populations; execute the modified SQL query on medical data elements from the database record store for each patient in one or more defined patient populations; and load results of the modified SQL query.
G16H 50/70 - ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients
G16H 30/20 - ICT specially adapted for the handling or processing of medical images for handling medical images, e.g. DICOM, HL7 or PACS
G16H 40/20 - ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
G16H 70/20 - ICT specially adapted for the handling or processing of medical references relating to practices or guidelines
Methods, systems, and computer-readable media are provided for customization of management of population health. A population tracking builder application is provided as a single application that allows users to completely customize population management. In particular, populations may be added or changed, algorithms for monitoring the populations may be added or changed to meet a user's needs or completely removed, specific variables of algorithms may be edited, and the like. This provides user's flexibility to customize population management tools at any time.
G16H 40/20 - ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
Methods, systems, and computer-readable media are disclosed herein for intelligent defect analysis. In an aspect, a client environment is monitored for defects. Upon detecting and identifying a defect, the defect is analyzed using natural language processing in order to identify one or more keywords associated with the system defect. A historical record associated with the one or more keywords is identified and one or more solutions associated with the historical record are identified based on the keywords. The keywords and associated solutions may then be displayed as a notification on a graphical user interface.
G16H 10/60 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
G16H 40/20 - ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
G06Q 10/06 - Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
G06Q 10/10 - Office automation, e.g. computer aided management of electronic mail or groupware; Time management, e.g. calendars, reminders, meetings or time accounting
G16H 50/20 - ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
Systems, methods, and devices identify members of a cohort, as one example. In embodiments, medical professionals may seek to identify patents who suffer from, or are likely to suffer from, a condition, even if patients are not associated with a diagnoses or a recorded description of the condition, or medical professionals may seek to confirm the inclusion of members in a cohort. Embodiments include considering hypothetical factors that may indicate whether a patient has a condition, performing regression analyses to obtain a set of initial cohorts and likelihoods that they will experience the condition, and user interaction(s) to identify members, for example patients with a higher likelihood of developing a condition. Outputs include, in embodiments, treatment plans or updates for a patent such as medications or appointments, tests to be performed on physical samples, or input(s) for a manufacturing process, such as three-dimensional printing using biological or other materials.
G16H 50/20 - ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
G06F 17/18 - Complex mathematical operations for evaluating statistical data
G16H 10/60 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
90.
SYSTEMS AND METHODS FOR MANAGING FUTURE RADIOLOGY ORDERS
Computerized systems and methods are provided for managing future radiology orders for multiple facilities. The systems and methods can include detecting a location identifier for each future radiology order, and in response to detecting the location identifier, determining a specific radiology facility for that location identifier. The respective future radiology orders can then be provided to the intended radiology facility.
G16H 40/20 - ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
G16H 40/40 - ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the management of medical equipment or devices, e.g. scheduling maintenance or upgrades
G16H 40/63 - ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for local operation
G16H 10/60 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
Embodiments herein disclose systems, methods, and computer-readable media for providing relevant content to users. Content from a plurality of disparate sources can be received and data from an electronic health record (EHR) can be leveraged such that relevant data or recommendations can be provided to users.
G16H 70/20 - ICT specially adapted for the handling or processing of medical references relating to practices or guidelines
G16H 10/60 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
Systems, methods, and user interfaces provide user-friendly interactive digital workflow graphics for displaying an order's journey through various tasks and key performance indicators (KPIs) for those tasks. The method may include mapping data from electronic medical records (EMR), such as KPIs of various tasks, onto a graphical depiction of a workflow for a particular order type, a particular patient, and/or over a particular period of time. The status of the tasks (e.g., completed, in progress, or queued) may also be visually depicted through color-coding within the interactive digital workflow graphics. The methods here described allow tracking of tasks in a workflow in a way that provides context to the data or KPIs. This not only increases efficiency and assists in streamlining the workflow, but also reduces confusion and documentation errors among different departments and healthcare workers, thereby increasing patient safety.
G06Q 10/06 - Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
Systems and methods for providing a rapid hyperledger onboarding platform are provided. The rapid hyperledger onboarding platform enables various teams within an organization to have their own distributed ledger implementation with a private channel for communication among participants of that network. After a request is received from one or more clients to register an application with a distributed ledger comprising a peer node for each of the one or more clients, a selection of data elements to be stored in the distributed ledger is received. The application is instantiated on the distributed ledger. A separate channel is automatically created for each client of the one or more clients among the corresponding peer nodes. Each channel provides smart contract code execution for the application such that blocks are replicated to a node corresponding to a particular transaction and not to other peer nodes.
G06F 16/27 - Replication, distribution or synchronisation of data between databases or within a distributed database system; Distributed database system architectures therefor
Methods, systems, and computer-readable media are provided for improving patient safety using virtual observation. A falls risk assessment and a patient safety risk assessment are initially provided within an electronic health record of a patient. A clinician is prompted at a clinician device to provide input to the falls risk assessment and the patient safety risk assessment for the patient. Based on the input, a safety assessment score is determined for the patient. The safety assessment score is provided to the clinician via the clinician device and the clinician is prompted to initiate an order to place a camera in the room of the patient. Based on the order, a virtual sitter may be assigned to the patient to monitor the camera.
G16H 10/60 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment
G16H 40/60 - ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices
95.
FRAMEWORK FOR GENERATING A TIMELINE TO MAINTAIN CONTEXT ACROSS VARIOUS DISPLAY DEVICE SIZES
Methods for maintaining context of data when displaying information in the form of a timeline across various display devices can be performed using a timeline generation system. The timeline generation system generates a container within a graphical user interface, where the container is proportional to a display device. A timeline is determined and segmented into columns based on the size of the container and a length of time represented by the timeline or the displayed portion of the timeline. Ranges of time represented by the columns of the timeline are provided in an intuitive manner, so that the timeline can provide easy-to-understand data regardless of timeline size or the length of time it represents. The resulting columnized timeline can be arranged on the display device based on sections of the timeline determined based on the number of columns and the size of the container.
G06F 40/18 - Editing, e.g. inserting or deleting using ruled lines of spreadsheets
G16H 10/60 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
G06F 3/0484 - Interaction techniques based on graphical user interfaces [GUI] for the control of specific functions or operations, e.g. selecting or manipulating an object or an image, setting a parameter value or selecting a range
96.
INTELLIGENTLY LINKING PAYER/HEALTH PLAN COMBINATIONS TO SPECIFIC EMPLOYERS
Methods, computer systems, and computer storage media are provided for utilizing machine learning to verify payers and/or health plans. HIPAA transactions can be utilized to train a machine learning model to intelligently link payers and/or health plans to specific employers. Initially, transaction data is received from electronic data interchange (EDI) insurance transactions. The transaction data comprises data corresponding to a plurality of employers, a plurality of payers, and a plurality of health plans provided by the plurality of payers. A machine learning model is trained with the transaction data to build a mapping of the plurality of employers, the plurality of payers contracted with each employer of the plurality of employers, and the plurality of health plans provided by the plurality of payers for each employer of the plurality of employers. The machine learning model is utilized to verify the scan data is mapped in accordance with the mapping.
G16H 10/60 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
G06Q 40/08 - Insurance, e.g. risk analysis or pensions
G06Q 20/40 - Authorisation, e.g. identification of payer or payee, verification of customer or shop credentials; Review and approval of payers, e.g. check of credit lines or negative lists
G06K 9/62 - Methods or arrangements for recognition using electronic means
Computerized systems and methods are provided to intelligently and dynamically manage a data center comprising at least one server and at least one central manager. The central manager is programmed to access the at least one server on a predetermined schedule to determine whether at least one application is functioning properly by determining a functionality level. Alternatively, the central manager determines whether the at least one server is actively used by determining an activity level for the server. Based on the central manager's determinations, the system dynamically adjusts the power level of the server, resulting in reduced power consumption and a reduction in wasted resources and unnecessary processing power in the management of servers in a data center.
Methods, systems, and computer-storage media are provided for determining the probability of readmission of an individual to a facility after a first admission. Medical data elements are identified that are associated with a first admission and at least one readmission for at least one individual at a facility over a predetermined period. Sequential pattern analysis is performed to determine correlation clusters between two or more conditions. Additionally, multivariate logistic regression may be performed to further support the correlation clusters determined. Based on the analysis, a prediction is generated and communicated to a first user regarding the risk of readmission of an individual and interventional treatments are proposed to decrease the risk of readmission based on the prediction comprising the correlation cluster.
G16H 50/70 - ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients
G16H 10/60 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
G06F 17/18 - Complex mathematical operations for evaluating statistical data
G06F 3/0482 - Interaction techniques based on graphical user interfaces [GUI] based on specific properties of the displayed interaction object or a metaphor-based environment, e.g. interaction with desktop elements like windows or icons, or assisted by a cursor's changing behaviour or appearance interaction with lists of selectable items, e.g. menus
99.
Enabling The Use Of Multiple Picture Archiving Communication Systems By One Or More Facilities On A Shared Domain
Methods, systems, and computer-storage media are provided for utilizing multiple Picture Archiving Communication Systems (PACS) to view one more medical images by storing one or more PACS at a database within the system. Requests are received from one or more users at one or more facilities to utilize one or more PACS to view one or more medical images. After accessing the database to determine one or more PACS authorized for each facility from which a request is received, one or more users are provided with one or more PACS to view medical images associated with radiological exams and provide the necessary assessments and reports for treatment.
Methods, systems, and computer-readable media are disclosed herein to provide for reconstituting an object from raw data in a heap dump. Embodiments herein provide for retrieving raw data from a managed heap dump, where the raw data corresponds to an object. The raw data is retrieved from the heap dump and loaded into a running computer application within a runtime environment, in embodiments. The raw data is transformed, in some embodiments, by regenerating the actual object from the content of the object that is represented in the raw data, through the running computer application. Various utilities may then be used on the regenerated object to reveal the internal structure of the object for program logic diagnosis, in embodiments.
