Method and system for providing automated conversations

• US 10,068,059 B2
• Filed: 11/18/2017
• Issued: 09/04/2018
• 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, Elliot, Greg
• Primary Examiner(s): Tomaszewski, Michael
• Application Number:
  US15/817,188
• Publication Number:
  US 20180075205A1
• Time in Patent Office: 290 Days
• Field of Search: None
• CPC Class Codes: G16H 10/20 for electronic clinical trials or questionnaires
• CPC Class Codes: G16H 10/60 for patient-specific data, e.g. for electronic patient records
• CPC Class Codes: G16H 20/10 relating to drugs or medications, e.g. for ensuring correct administration to patients
• CPC Class Codes: G16H 40/20 for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
• CPC Class Codes: G16H 40/63 for local operation
• CPC Class Codes: G16H 40/67 for remote operation
• CPC Class Codes: G16H 80/00 ICT specially adapted for facilitating communication between medical practitioners or patients, e.g. for collaborative diagnosis, therapy or health monitoring

Abstract

Embodiments of a method and system for facilitating improvement of a user condition through tailored communication with a user can include receiving a log of use dataset associated with a digital communication behavior at a mobile device, the log of use dataset further associated with a time period; receiving a mobility supplementary dataset corresponding to a mobility-related sensor of the mobile device, the mobility supplementary dataset associated with the time period; determining a tailored communication plan for the user based on at least one of the log of use dataset and the mobility supplementary dataset; transmitting, based on the tailored communication plan, a communication to the user at the mobile device; and promoting a therapeutic intervention to the user in association with transmitting the communication.

Claims

1. A method for facilitating improvement of a user condition through communication tailored for a user, the method comprising:

receiving a log of use dataset associated with the user at a mobile application of a mobile device;

receiving a mobility sensor supplementary dataset corresponding to a mobility-related sensor of the mobile device, the mobility sensor supplementary dataset associated with a mobility behavior for the user;

extracting, based on the log of use dataset and the mobility sensor supplementary dataset, a set of mobility-communication features for the user;

applying a communication model to determine a tailored digital communication plan for the user from a first digital communication plan and a second digital communication plan based on the set of mobility-communication features, wherein the first digital communication plan is configured to be selected based on the set of mobility-communication features indicating a first user behavior, and wherein the second digital communication plan is configured to be selected based the set of mobility-communication features indicating a second user behavior, wherein the determined tailored digital communication plan is operable to improve data storage, data retrieval, and therapeutic intervention promotion;

automatically storing, at a remote computing system, the tailored digital communication plan in association with a user identifier associated with the user; and

promoting a therapeutic intervention to the user based on the tailored digital communication plan, wherein the therapeutic intervention is operable to improve the user condition of the user.

2. The method of claim 1, further comprising:

determining a selected a patient subgroup for the user from a first subgroup and a second subgroup based on the mobility sensor supplementary dataset, wherein the first subgroup is configured to be selected based on the mobility sensor supplementary dataset indicating a first mobility behavior shared by the first subgroup, and wherein the second subgroup is configured to be selected based on the mobility sensor supplementary dataset indicating a second mobility behavior shared by the second subgroup;

retrieving a communication model associated with the selected patient subgroup, wherein determining the tailored communication plan comprises determining the tailored communication plan based on the communication model and the set of mobility-communication features.

3. The method of claim 1,

wherein receiving the mobility sensor supplementary dataset comprises receiving a GPS location dataset corresponding to a GPS sensor of the mobile device,

wherein extracting the set of mobility-communication features comprises extracting a user GPS location associated with the log of use dataset,

wherein determining the tailored communication plan comprises determining a target geographical location from a first location and a second location based on the user GPS location, and

wherein transmitting the communication comprises transmitting the communication to the user at the target geographical location according to the tailored communication plan.

4. The method of claim 1,

wherein receiving the mobility sensor supplementary dataset comprises receiving a motion sensor dataset corresponding to a motion sensor of the mobile device,

wherein extracting the set of mobility-communication features comprises determining an activity level feature based on the motion sensor dataset and the log of use dataset,

wherein the first communication plan is configured to be selected based on the activity level feature indicating a first activity level, and

wherein the second communication plan is configured to be selected based on the activity level feature indicating a second activity level.

5. The method of claim 4, wherein determining the activity level feature comprises determining a work-life metric associated with stress and productivity for the user based on the log of use and the motion sensor dataset, and wherein determining the tailored communication plan comprises determining an automated communication to transmit to the user based on the work-life metric.

6. The method of claim 1, wherein transmitting the communication to the user comprises transmitting the communication to the user in association with promoting a therapeutic intervention operable to improve the user condition comprising at least one of a cardiovascular-related condition, a pain-related condition, a sleep-related condition, a communication-related condition, and a mental condition, and wherein the communication is associated with the user condition.

7. The method of claim 1, wherein the log of use dataset is further associated with a care provider communication between a user and a care provider, wherein extracting the set of mobility-communication features comprises extracting the set of mobility-communication features based on the care provider communication and the mobility sensor supplementary dataset.

8. The method of claim 7, wherein determining the tailored communication plan comprises determining at least one of an audio-based treatment, a graphical-based treatment, and a text-based treatment, based on the set of mobility-communication features, and wherein transmitting the communication comprises providing the at least one of the audio-based treatment, the graphical-based treatment, and the text-based treatment to the user at the mobile device.

9. A method for facilitating improvement of a user condition through communication tailored for a user, the method comprising:

receiving a first log of use dataset for the user at a mobile device;

receiving a mobility sensor supplementary dataset corresponding to a mobility-related sensor of the mobile device, the mobility supplementary dataset associated with a mobility behavior for the user;

extracting a set of mobility-communication features for the user based on the log of use dataset;

retrieving a tailored communication model for a user from a first communication model and a second communication model based on the set of mobility-communication features, wherein the first communication model is configured to be selected based on the set of mobility-communication features indicating a first user behavior, wherein the second communication model is configured to be selected based on the set of mobility-communication features indicating a second user behavior, and wherein the tailored digital communication model is operable to improve data processing by a processing system for facilitating the improvement of the user condition;

determining a tailored digital communication for the user based on the tailored communication model; and

promoting a therapeutic intervention to the user in association with transmitting the tailored digital communication, wherein the therapeutic intervention is operable to improve the user condition of the user.

10. The method of claim 9, further comprising:

receiving a mobility supplementary dataset corresponding to a mobility-related sensor of the mobile device;

extracting a set of mobility features for the user based on the mobility supplementary dataset,

wherein the first communication is configured to be selected based on the set of mobility features and the set of communication features indicating the first user behavior, and

wherein the second communication is configured to be selected based on the set of mobility features and the set of communication features indicating the second user behavior.

11. The method of claim 9,

wherein the first log of use dataset corresponds to a communication mobile application for the mobile device,

wherein receiving the first log of use dataset comprises receiving 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 device,

wherein determining the tailored communication comprises determining the tailored communication based on the at least one of the optical sensor data and the audio sensor data, wherein the first communication is configured to be selected based on the first user behavior being indicated by the at least one of the optical sensor data and the audio sensor data, and wherein the second communication is configured to be selected based on the second user behavior being indicated by the at least one of the optical sensor data and the audio sensor data.

12. The method of claim 9, wherein transmitting the tailored communication comprises transmitting the tailored communication in association with promoting a therapeutic intervention, wherein the method further comprises:

receiving, for the user at the mobile device, a second log of use dataset associated with a care provider communication between the user and a care provider, wherein the care provider communication is associated with the therapeutic intervention; and

updating the tailored communication plan based on the care provider communication.

13. The method of claim 12, further comprising:

determining a treatment efficacy for the therapeutic intervention based on the care provider communication,

wherein updating the tailored communication plan comprises updating the tailored communication plan based on the treatment efficacy; and

transmitting an updated communication to the user in association with promoting an updated therapeutic intervention, according to the updated tailored communication plan.

14. The method of claim 12, wherein the second log of use dataset is further associated with user inputs corresponding to the therapeutic intervention promoted at the mobile device, and wherein updating the tailored communication plan comprises updating the tailored communication plan based on the care provider communication and the user inputs corresponding to the therapeutic intervention.

15. The method of claim 9, wherein determining the tailored communication comprises determining a tailored transmission schedule for the user from a first schedule and a second schedule based on the set of communication features, and wherein transmitting the tailored communication comprises transmitting the tailored communication to the user based on the tailored transmission schedule.

16. The method of claim 15, further comprising:

determining a therapy schedule for promoting a therapeutic intervention; and

coordinating the therapy schedule and the tailored transmission schedule,

wherein transmitting the communication comprises transmitting the communication in association with promoting the therapeutic intervention, based on the tailored transmission schedule and the therapy schedule.

17. The method of claim 15, further comprising receiving a care provider availability schedule for a care provider associated with the user, wherein determining the tailored transmission schedule for transmitting the tailored communication to the user comprises determining the tailored transmission schedule based on the care provider availability schedule and the set of communication features.

18. The method of claim 9, wherein transmitting the tailored communication to the user comprises transmitting the tailored communication to the user in association with promoting a therapeutic intervention operable to improve the user condition comprising at least one of a depression disorder, an anxiety disorder, a bipolar disorder, a psychotic disorder, and a mental health symptom, and wherein the tailored communication is associated with the user condition.

19. The method of claim 18, wherein the user condition comprises an emotion-related issue, wherein determining the tailored communication comprises determining the tailored communication for facilitating improvement of the emotion-related issue, based on the set of communication features.