METHOD FOR PROVIDING THERAPY TO AN INDIVIDUAL

• US 20160140320A1
• Filed: 01/25/2016
• Published: 05/19/2016
• Est. Priority Date: 08/16/2012
• Status: Active Grant

• Current Assignee: OrangeDot, Inc.
• Original Assignee: Ginger.io, Inc. (OrangeDot, Inc.)
• Inventors: Singh, Karan, Nath, Abhishek, Withrow, Amanda, Sharma, Aditya, Moturu, Sai, Madan, Anmol
• Granted Patent: US 10,276,260 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• 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 providing therapy to an individual, the method comprising:

transmitting, from a communication module executing on a mobile device to a computing system, a log of use dataset associated with communication behavior of the individual during a time period, wherein the log of use dataset includes at least one of a phone calling component and a text messaging component;

at the computing system, receiving a supplementary dataset from sensors of the mobile device, the supplementary dataset characterizing mobility of the individual in association with the time period;

within an application executing at the mobile device, 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; and

at the computing system

     1) automatically 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 and the survey dataset,

     2) with generation of the report, enabling a communicable link with a computing device of a coach, and

     3) by way of the communicable link, rendering information from the report to the coach associated with the individual, thereby enabling the coach to facilitate provision of a therapeutic intervention for the individual by way of at least one of the computing system and the mobile device.

2. The method of claim 1, wherein transmitting the log of use dataset further includes:

at the computing system, extracting, from the log of use dataset;

a length of text messages received by the individual from a close associate of the individual, a phone call duration, an incoming call count, and a number of ignored calls.

3. The method of claim 2, wherein receiving the supplementary dataset includes extracting a mobility radius associated with at least one time point of the time period and derived from global positioning sensors of the mobile communication device.

4. The method of claim 1, wherein generating the report includes transforming data from the passive dataset and the survey dataset into a trend in PHQ-9 scores over time, an indication of exhibition of suicidal ideation by the individual, and indication of time since the individual has engaged with the coach, a completion status for each of a set of mental health improvement tasks promoted to the individual, and a symptom progression status of each of a set of symptoms of the individual, thereby summarizing the mental health state of the individual.

5. The method of claim 1, wherein generating the report includes transforming data from the passive dataset and the survey dataset into a recommendation for reaching out to the individual, with an analysis of:

a level of engagement between the individual and the application, a level of engagement between the individual and the coach, a need for positive reinforcement of behaviors of the individual, and a comparison between a mental health state parameter a critical threshold.

6. The method of claim 5, wherein in response to the analysis, the method further includes automatically prompting the coach to establish communication with the individual using a user interface of the computing device of the coach.

7. The method of claim 4, wherein in response to an item of the report, the method further includes guiding the coach to escalate care of the individual to a higher level of care beyond the coach, using a user interface of the computing device of the coach, and wherein, post-escalation of care of the individual, the method further includes transitioning care of the individual back to the coach.

8. The method of claim 7, wherein guiding the coach to escalate care of the individual to a higher level of care includes guiding the coach to inform the individual of a medication conducive to improving the mental health state of the individual, using the application and a user interface of the computing device of the coach.

9. The method of claim 4, wherein in response to an item of the report indicating a critical level of suicidal ideation by the individual, the method further includes transitioning the individual from interactions with the coach to interactions with a licensed therapist using a messaging client of the application executing on the mobile device.

10. The method of claim 1, wherein generating the report includes determining a mental health state parameter derived from a mobility parameter extracted from GPS data of the supplementary dataset, and wherein generating the report includes comparing the mobility parameter to a mobility radius threshold with an associated duration threshold.

11. The method of claim 1, wherein receiving the survey dataset comprises providing to the individual, within the application executing at the mobile device, a survey derived from at least one of:

a Patient Health Questionnaire-9 (PHQ-9) assessment, a Hamilton Rating Scale for Depression (HAM-D) assessment, and a Generalized Anxiety Disorder-7 (GAD-7) assessment.

12. The method of claim 1, further comprising at the computing system, generating a predictive model from a) a passive dataset derived from the log of use dataset and the supplementary dataset and b) the survey dataset;

and wherein generating the report includes generating the report from an output of the predictive model.

13. The method of claim 1, wherein in response to an item of the report, the method further includes:

allowing the coach to modify a treatment plan for the individual, the treatment plan at least partially accessible within the application executing at the mobile device of the individual.

14. A method for providing therapy to an individual, the method comprising:

transmitting, from a communication module executing on a mobile device to a computing system, a log of use dataset associated with communication behavior of the individual during a time period, wherein the log of use dataset includes at least one of a phone calling component and a text messaging component;

at the computing system, receiving a supplementary dataset from sensors of the mobile device, the supplementary dataset characterizing mobility of the individual in association with the time period;

within an application executing at the mobile device, 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;

within the application executing at the mobile device, presenting the individual with an option to communicate with a therapeutic entity;

in response to at least one of;

an analysis of the passive dataset and the survey dataset, and election of the option by the individual, enabling a communicable link between the mobile device and a therapeutic entity communication device; and

by way of the communicable link, establishing a period of communication between the individual and the therapeutic entity, thereby providing therapy to the individual.

15. The method of claim 14, wherein presenting the individual with an option to communicate with the therapeutic entity includes presenting the individual with a set of therapeutic entities and receiving a selection of one of the set of therapeutic entities within the application of the mobile device.

16. The method of claim 14, wherein presenting the individual with an option to communicate with a therapeutic entity comprises:

generating a comparison between a mental health state parameter and a critical threshold in the analysis, and automatically promoting a period of communication between the individual and the therapeutic entity in response to the comparison.

17. The method of claim 14, further comprising:

after the period of communication, prompting each of the individual and the therapeutic entity to provide feedback pertaining the period of communication using the application of the mobile device and the therapeutic entity communication device, and receiving the feedback at the computing system.

18. The method of claim 17, further comprising:

determining a set of communication features upon processing feedback from the period of communication; and

generating a matching model from the set of communication features that identifies appropriate matches between the therapeutic entity and subsequent individuals electing periods of communication.

19. The method of claim 14, wherein generating the analysis includes determining a mental health state parameter derived from a mobility parameter extracted from GPS data of the supplementary dataset, and wherein generating the report includes comparing the mobility parameter to a mobility radius threshold with an associated duration threshold.

20. The method of claim 14, further including receiving an input, indicative of a self-assessed psychological state of the individual, by the individual at the mobile device, and providing information derived from the input to the therapeutic entity prior to the period of communication.

21. The method of claim 20, wherein establishing the period of communication comprises automatically establishing the period of communication in response to the input and election of the option to communicate with a therapeutic entity by the individual.

22. The method of claim 14, wherein receiving the supplementary dataset includes extracting a mobility radius associated with at least one time point of the time period and derived from global positioning sensors of the mobile device, and establishing the period of communication based on a reduction in the mobility radius determined using the computing system.

23. The method of claim 14, further including at the computing system, generating a predictive model from a) a passive dataset derived from the log of use dataset and the supplementary dataset and b) the survey dataset;

and wherein enabling the communicable link is based on an output of the predictive model.