Abstract

A method of treatment comprises administering, via data processing hardware, to a first set of one or more users, a digital therapeutic, wherein the digital therapeutic comprises at least cognitive behavioral therapy content, administering, via the data processing hardware, to a second set of one or more users, at least one of a sham or a placebo digital therapeutic, wherein the at least one sham or placebo digital therapeutic does not comprise any cognitive behavioral therapy content, determining, via the data processing hardware, a first efficacy value associated with the digital therapeutic based on an analysis of engagement of the first set of one or more users with the digital therapeutic, determining, via the data processing hardware, a second efficacy value associated with the at least one sham or placebo digital therapeutic based on analysis of engagement of the second set of one or more users with the sham or placebo digital therapeutic, determining, via the data processing hardware, a third efficacy value associated with the digital therapeutic based on a comparison of the first and second efficacy values, altering, via the data processing hardware, the cognitive behavioral therapy content of the digital therapeutic based on the third efficacy value to provide an updated digital therapeutic, and administering, via the data processing hardware, the updated digital therapeutic to a third set of one or more users.

IPC Classes  ?

• G16H 20/70 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to mental therapies, e.g. psychological therapy or autogenous training

Goods & Services

downloadable software for the treatment of alcohol use disorder, namely, software for collecting information and data from and for delivering information and therapy to patients with alcohol use disorder software as a service (SAAS) services featuring software for the treatment of alcohol use disorder, namely, software for healthcare providers to access and analyze information and data from and to provide information and therapy to patients with alcohol use disorder

Abstract

A system includes data processing hardware and memory hardware in communication with the data processing hardware, the memory hardware storing instructions that when executed on the data processing hardware cause the data processing hardware to perform operations comprising: (i) obtaining input data from data processing hardware of a patient electronic device associated with a patient; (ii) generating and displaying on a display a graphical interface based on the input data; (iii) receiving a user input selection indicating selection of one of the first graphical element or the second graphical element; and (iv) modifying the selected first or second graphical element based on the user input selection.

IPC Classes  ?

• 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

Abstract

A method comprises obtaining input data from a patient device associated with a patient, the input data including free text data generated by the patient. The input data is analyzed to determine whether the input data meets predetermined relevancy criteria. The input data is compared to clinical data in a clinically curated database to generate comparison data. Based on the comparison data, the method comprises performing at least one of the following curation operations: (i) adding the input data to the clinically curated database when the input data meets predetermined relevancy criteria and when the comparison data indicates that the input data is sufficiently different from the clinical data; (ii) merging the input data with the clinical data when the input data meets predetermined relevancy criteria and when the comparison data indicates that the input data is sufficiently similar to the clinical data; and (iii) taking no action when it is determined that the input data does not meet predetermined relevancy criteria.

IPC Classes  ?

• 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 50/20 - 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 80/00 - ICT specially adapted for facilitating communication between medical practitioners or patients, e.g. for collaborative diagnosis, therapy or health monitoring
• 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 10/60 - 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

Abstract

Certain implementations of the disclosed technology may include electronic devices and methods for treating depressive symptoms associated with multiple sclerosis. According to an example implementation, a method is provided. The method may include displaying a feeling selection interface; receiving a feeling selection input; displaying a feeling spectrum interface; receiving a first feeling intensity input; displaying an automatic thought selection interface; receiving an automatic thought selection input; displaying an alternative thought selection interface; receiving an alternative thought selection input; displaying the feeling spectrum interface again; receiving a second feeling intensity input; and generating a journal entry indicating at least any difference between the first feeling intensity input and the second feeling intensity input.

IPC Classes  ?

• G16H 20/70 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to mental therapies, e.g. psychological therapy or autogenous training

Abstract

The present disclosure relates to uses of computerized behavioral therapy in the treatment of depressive symptoms or depressive disorder associated with multiple sclerosis.

IPC Classes  ?

• 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 20/70 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to mental therapies, e.g. psychological therapy or autogenous training
• 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

Abstract

A method comprising executing a prescription digital therapeutic configured to treat symptoms associated with migraines experienced by a patient. Executing the prescription digital therapeutic comprises: (a) obtaining, by data processing hardware, a plurality of data from (i) first sensors associated with a patient electronic device, (ii) the patient via the patient electronic device, and (iii) a remote server; (b) weighting, by the data processing hardware, the plurality of data to provide a plurality of weighted data; (c) generating, by the data processing hardware, a migraine forecast prediction for the patient based on the plurality of weighted data; (d) determining, by the data processing hardware, a recommended dosage of a migraine-treating medication for the patient based on the migraine forecast prediction, the migraine-treating medication including one of a triptan or a calcitonin gene-related peptide (CGRP) inhibitor; and (e) instructing, by the data processing hardware, an administration unit to administer an administration dosage of the migraine-treating medication to the patient based on the recommended dosage.

IPC Classes  ?

• 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 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
• G16H 80/00 - ICT specially adapted for facilitating communication between medical practitioners or patients, e.g. for collaborative diagnosis, therapy or health monitoring

Abstract

A system comprising data processing hardware and memory hardware in communication with the data processing hardware, the memory hardware storing instructions that when executed on the data processing hardware cause the data processing hardware to perform operations comprising executing a prescription digital therapeutic configured to treat symptoms associated with opioid use disorder in a patient, wherein executing the prescription digital therapeutic comprises receiving a plurality of inputs associated with the patient from one or more of (i) first sensors associated directly with the patient and (ii) second sensors associated with a patient electronic device, wherein the plurality of inputs represent a level of opioid withdrawal associated with the patient, weighting the plurality of inputs associated with the patient to provide a plurality of weighted inputs, determining a recommended dosage of a buprenorphine-containing product for the patient based on the plurality of weighted inputs, and instructing an administration unit to administer the recommended dosage of the buprenorphine-containing product to the patient.

IPC Classes  ?

• 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 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

Abstract

Electronic devices and methods are provided for the treatment of schizophrenia utilizing delivery of an antipsychotic in combination with computerized behavioral therapy.

IPC Classes  ?

• 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 20/70 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to mental therapies, e.g. psychological therapy or autogenous training

Abstract

A method that includes receiving patient-generated event data over a network from a patient device associated with a patient having an active digital therapy prescription for treating an underlying disease or disorder. The patient-generated event data is encrypted by the patient device and includes at least one timestamped event related to the active digital therapy prescription. In response to receiving the patient- generated event data, the method includes decrypting, anonymizing, and storing the anonymized patient-generated event data on memory hardware. The method further includes receiving a patient record request over the network from a healthcare provider (HCP) system that requests the patient-generated event data and includes an authentication token. In response to receiving the patient record request, the method includes retrieving and encrypting the anonymized patient-generated event data from the memory hardware using the authentication token. The method also includes transmitting the encrypted patient-generated event data to the HCP system.

IPC Classes  ?

• 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 50/30 - 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
• G06Q 50/22 - Social work

Goods & Services

software as a service (SAAS) services featuring software for the treatment of opioid use disorder, namely, software for healthcare providers to access and analyze information and data from and to provide information and therapy to patients with opioid use disorder

Goods & Services

software as a service (SAAS) services featuring software for the treatment of substance use disorder, namely, software for healthcare providers to access and analyze information and data from and to provide information and therapy to patients with substance use disorder

Goods & Services

software for the treatment of substance use disorder, namely, software for collecting information and data from and for delivering information and therapy to patients with substance use disorder software as a service (SAAS) services featuring software for the treatment of substance use disorder, namely, software for healthcare providers to access and analyze information and data from and to provide information and therapy to patients with substance use disorder

Goods & Services

software for the treatment of opioid use disorder, namely, software for collecting information and data from and for delivering information and therapy to patients with opioid use disorder software as a service (SAAS) services featuring software for the treatment of opioid use disorder, namely, software for healthcare providers to access and analyze information and data from and to provide information and therapy to patients with opioid use disorder

Goods & Services

software for the treatment of opioid use disorder, namely, software for collecting information and data from and for delivering information and therapy to patients with opioid use disorder