Method for providing therapy to an individual

• US 10,242,754 B2
• Filed: 11/18/2017
• Issued: 03/26/2019
• Est. Priority Date: 08/16/2012
• Status: Active Grant

• Current Assignee: OrangeDot, Inc.
• Original Assignee: Ginger.io, Inc. (OrangeDot, Inc.)
• Inventors: Moturu, Sai, Madan, Anmol, Singh, Karan, Nath, Abhishek, Withrow, Amanda, Sharma, Aditya
• Primary Examiner(s): Tomaszewski, Michael
• Application Number:
  US15/817,189
• Publication Number:
  US 20180158538A1
• Time in Patent Office: 493 Days
• Field of Search: None
• CPC Class Codes: G09B 7/06 of the multiple-choice answer-type, i.e. where a given question is provided with a series of answers and a choice has to be made from the answers
• CPC Class Codes: G16H 10/20 for electronic clinical trials or questionnaires
• CPC Class Codes: G16H 15/00 ICT specially adapted for medical reports, e.g. generation or transmission thereof
• CPC Class Codes: G16H 20/40 relating to mechanical, radiation or invasive therapies, e.g. surgery, laser therapy, dialysis or acupuncture
• CPC Class Codes: G16H 20/70 relating to mental therapies, e.g. psychological therapy or autogenous training
• CPC Class Codes: G16H 40/67 for remote operation
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems
• CPC Class Codes: G16H 50/30 for calculating health indices; for individual health risk assessment
• CPC Class Codes: G16H 50/70 for mining of medical data, e.g. analysing previous cases of other patients

Abstract

A method and system for providing therapy to an individual, the method comprising: transmitting a log of use dataset associated with communication behavior of the individual during a time period; receiving a supplementary dataset characterizing mobility of the individual in association with the time period; generating a survey dataset upon retrieving responses provided by the individual to at least one of a set of surveys, associated with a set of time points of the time period; generating a predictive model from a passive dataset derived from the log of use dataset and the supplementary dataset and the survey dataset; generating a report summarizing a mental health state of the individual, associated with at least a portion of the time period, from the passive dataset, the survey dataset, and an output of the predictive model; and rendering information from the report to a coach associated with the individual.

Claims

1. A method for therapy provision to an individual, the method comprising:

collecting a log of use for the individual, the log of use corresponding to a communication application for a mobile computing device associated with the individual;

selecting a patient subgroup for the individual from a first subgroup and a second subgroup based on the log of use, wherein the first subgroup is configured to be selected based on the log of use indicating a first communication behavior shared by the first subgroup, and wherein the second subgroup is configured to be selected based on the log of use indicating a second communication behavior shared by the second subgroup;

retrieving a health state model associated with the selected patient subgroup;

determining a health state for the individual based on the health state model; and

enabling a first communication between the individual and a therapeutic entity, thereby administering a therapy for the individual based on the health state, for improvement of the health state.

2. The method of claim 1, further comprising automatically storing the log of use in association with the selected patient subgroup in response to selecting the patient subgroup for the individual, wherein selection of the selected patient subgroup is operable to improve data storage and data retrieval associated with facilitating the therapy provision to the individual.

3. The method of claim 1, further comprising collecting a mobility dataset corresponding to a mobility sensor of the mobile computing device associated with the individual, wherein the mobility dataset comprises at least one of GPS sensor data and motion sensor data respectively corresponding to at least one of a GPS sensor and a motion sensor of the mobile computing device, wherein the first subgroup is configured to be selected based on the at least one of the GPS sensor data and the motion sensor data indicating a first mobility behavior, and wherein the second subgroup is configured to be selected based on the at least one of the GPS sensor data and the motion sensor data indicating a second mobility behavior.

4. The method of claim 3, further comprising matching the individual to the therapeutic entity selected from a first therapeutic entity and a second therapeutic entity based on the mobility dataset, wherein the first therapeutic entity is configured to be selected based on the mobility dataset indicating the first mobility behavior, and wherein the second therapeutic entity is configured to be selected based on the mobility dataset indicating the second mobility dataset.

5. The method of claim 4, further comprising in response to matching the individual to the therapeutic entity based on the mobility dataset, automatically associating, at a remote database, a first identification code for the individual with a second identification code for the therapeutic entity.

6. The method of claim 1, further comprising:

providing the therapy to the individual through a mobile application for the mobile computing device;

after providing the therapy, enabling a second communication between the individual and the therapeutic entity; and

determining an efficacy of the therapy based on the second communication between the individual and the therapeutic entity.

7. The method of claim 6, further comprising:

collecting mobile application usage data corresponding to the mobile application, during a time period corresponding to provision of the therapy,

wherein determining the efficacy of the therapy comprises determining the efficacy based on the mobile application usage data and the second communication.

8. The method of claim 1, wherein determining the health state comprises generating a recommendation for reaching out to the individual based on a set of communication features extracted from the log of use, and wherein enabling the first communication between the individual and the therapeutic entity comprises enabling the first communication based on the recommendation.

9. The method of claim 1, wherein the health state model defines a correlation between a mental health state and a communication behavior associated with the selected patient subgroup, wherein the mental health state comprises at least one of a depression disorder, an anxiety disorder, a bipolar disorder, a psychotic disorder, and a mental health state symptom, and wherein determining the health state comprises determining a mental health state associated with the at least one of the depression disorder, the anxiety disorder, the bipolar disorder, the psychotic disorder, and the mental health state symptom based on the health state model and the log of use.

10. The method of claim 9, wherein determining the mental health state comprises determining an emotion-related issue for the user based on the health state model and the log of use, wherein enabling the first communication between the individual and the therapeutic entity comprises facilitating provision of the therapy for improving the emotion-related issue.

11. The method of claim 1, further comprising:

extracting a set of communication features from the log of use corresponding to the communication application, wherein the set of communication features comprises at least one of frequency, duration, timing, content, and contact diversity for at least one of textual communications, audio communications, and visual communications associated with the individual,

wherein determining the health state comprises determining the health state based on the health state model and the at least one of the frequency, duration, timing, content, and contact diversity for the at least one of the textual communications, audio communications, and visual communications.

22. The method of claim 11, wherein the health state model defines a correlation between a communication behavior and a health state comprising at least one of a pain condition and a reduced function condition, wherein determining the health state comprises determining an analysis of the at least one of the pain condition and the reduced function condition based on the log of use, and wherein transmitting the health state comprises transmitting the analysis to the matched therapeutic entity.

12. A method for therapy provision to an individual, the method comprising:

accessing a log of use corresponding to a mobile application for a mobile computing device associated with the individual;

matching the individual to a matched therapeutic entity from a first therapeutic entity and a second therapeutic entity based on the log of use, wherein the first therapeutic entity is configured to be matched based on the log of use indicating a first feature, and wherein the second therapeutic entity is configured to be matched based on the log of use indicating a second feature;

determining a health state for the individual based on a health state model and the log of use;

transmitting the health state to the matched therapeutic entity;

enabling communication between the individual and therapeutic entity; and

administering, via the communication, a therapy for the individual based on the health state, for improvement of the health state.

13. The method of claim 12, further comprising:

collecting a mobility dataset for the individual, the mobility dataset corresponding to a mobility sensor of a mobile computing device associated with the individual,

wherein matching the individual comprises matching the individual to the matched therapeutic entity based on the mobility dataset and the log of use,

wherein the first therapeutic entity is configured to be matched based on the mobility dataset indicating a first mobility behavior, and

wherein the second therapeutic entity is configured to be matched based on the mobility dataset indicating a second mobility behavior.

14. The method of claim 12, wherein accessing the log of use comprises determining a set of communication features derived from at least one of optical sensor data and audio sensor data respectively corresponding to at least one of an optical sensor and an audio sensor of the mobile computing device, wherein matching the individual comprises matching the individual to the matched therapeutic entity based on the set of communication features, wherein the first therapeutic entity is configured to be matched based on the at least one of the optical sensor data and the audio sensor data indicating the first feature, and wherein the second therapeutic entity is configured to be matched based on the at least one of the optical sensor data and the audio sensor data indicating the second feature.

15. The method of claim 12, wherein matching the individual comprises:

guiding a coach to determine an escalation status for the individual for escalating care of the individual to a higher level of care, based on at least one of the first feature and the second feature; and

matching the individual to the matched therapeutic entity based on the escalation status.

16. The method of claim 15, wherein the at least one of the first feature and the second feature indicates a critical risk of an adverse health state by the individual, and wherein matching the individual to the matched therapeutic entity comprises matching the individual to a licensed therapist.

17. The method of claim 12, further comprising:

determining a criticality of state for the individual based on the log of use; and

determining a triaging for the individual and an additional individual based on the criticality of state,

wherein enabling the communication comprises enabling the communication between the individual and therapeutic entity based on the triaging.

18. The method of claim 17, further comprising:

generating a recommendation for the therapeutic entity to initiate the communication with the individual based on the triaging,

wherein enabling the communication comprises, independent from receiving a user input for initiating the communication, enabling the communication between the individual and the therapeutic entity.

19. The method of claim 17, further comprising collecting a mobility dataset for the individual, the mobility dataset corresponding to a mobility sensor of a mobile computing device associated with the individual, wherein determining the criticality of state for the individual comprises determining the criticality of state based on the mobility dataset and the log of use.

20. The method of claim 12, wherein accessing the log of use comprises determining a communication time for a communication associated with the log of use, wherein matching the individual comprises matching the individual to the matched therapeutic entity based on the communication time and at least one of a first availability for the first therapeutic entity and a second availability for the second therapeutic entity.

21. The method of claim 12, wherein determining the health state comprises:

based upon at least one of a survey dataset and textual communications associated with the log of use, determining an analysis of at least one of a level of engagement between the individual and the mobile application, a level of engagement between the individual and the matched therapeutic entity, a need for positive reinforcement of behaviors of the individual, and a comparison between a mental health state parameter and a critical threshold, and wherein transmitting the health state comprises transmitting the analysis to the matched therapeutic entity.

23. The method of claim 12, wherein the health state model defines a correlation between a mental health state and a communication behavior, wherein the mental health state comprises at least one of a depression disorder, an anxiety disorder, a bipolar disorder, a psychotic disorder, and a mental health state symptom, and wherein determining the health state comprises determining a mental health state associated with the at least one of the depression disorder, the anxiety disorder, the bipolar disorder, the psychotic disorder, and the mental health state symptom based on the health state model and the log of use associated with the communication behavior.

24. The method of claim 23, wherein determining the mental health state comprises determining an emotion-related issue for the user based on the health state model and the log of use, wherein enabling the communication between the individual and the therapeutic entity comprises facilitating provision of the therapy for improving the emotion-related issue.