IP Library Granted Patent US 10,636,525
Granted Patent B2
US 10,636,525 · App. 15/273,618 · Granted Apr 28, 2020

Automated determination of user health profile

Inventors: Shuo Jiao (Sunnyvale, CA); Munjal Shah (Los Altos, CA); Ryan Hinchey (Mountain View, CA); Cathy Ye Fan (San Francisco, CA); Ardaman Singh (Union City, CA)
Assignee: Hi.Q, Inc.
G16H50/30G06F19/328G06F19/3475G06Q50/01G16H10/20
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Quick Facts
Patent No.
US 10,636,525
App. No.
15/273,618
Filed
Sep 22, 2016
Granted
Apr 28, 2020
Kind
B2
Art Unit
3686
USPC
705/2
Abstract

A computer system automates the determination of a health profile of a user based on a knowledge of the user regarding health related questions and social network content from an account of the user.

Claims (48)

1. A computer system implementing a health service, comprising:

a network communication interface to communicate, over one or more wireless networks, with (i) a health service application executing computing devices of users of the health service, and (ii) one or more social media sources;

a database storing a collection of health assertions pertaining to human health, wherein each respective health assertion in the collection of health assertions corresponds to a health topic and comprises a correlative health value based on answers to the respective health assertion from individuals in a control group of which health outcomes are known, and wherein the collection of health assertions are configured to test general health knowledge of the users of the health service and not query user-specific health information of the users;

a memory storing instructions;

one or more processors to execute the instructions causing the one or more processors to:

access, from the one or more social media sources over the one or more wireless networks, social network content of a plurality of the individuals in the control group;

analyze the social network content to at least partially identify the known health outcomes of the plurality of individuals in the control group;

execute, by the computer system, a correlation model to determine the correlative health value for each respective health assertion in the collection of health assertions based on (i) the answers to the respective health assertion provided by the individuals in the control group, and (ii) the known health outcomes of the individuals in the control group, wherein the correlative health value for each respective health assertions in the collection of health assertions corresponds to a set of health correlations between knowledge of the respective health assertion and the known health outcomes of the individuals in the control group;

generate a health trivia session via a user interface of the health service application executing on a computing device of a user of the health service, the health trivia session prompting the user to provide, via the user interface of the executing health service application, responses to a series of health assertions from the collection of health assertions;

receive, over the one or more wireless networks, data indicating the responses by the user to the series of health assertions from the health service application executing on the computing device of the user;

generate a health knowledge profile for the user based on a correctness or incorrectness of each response in the responses by the user to the series of health assertions in the health trivia session;

generate a health profile of the user based, at least partially, on the health knowledge profile of the user; and

generate, via the executing health service application, a service customer interface displaying a health service product for the user, the service customer interface enabling the user to redeem the health service product, wherein the health service product is priced based on the health profile of the user.

2. The computer system of claim 1 , wherein the health service product comprises at least one of a health insurance product or a life insurance product.

3. The computer system of claim 2 , wherein the executed instructions cause the one or more processors to determine a premium or deductible for the at least one of the health insurance product or the life insurance product based on the health profile.

4. The computer system of claim 1 , wherein the executed instructions further cause the one or more processors to:

obtain a biological input of the user;

wherein the executed instructions cause the one or more processors to further generate the health profile of the user based on the biological input.

5. The computer system of claim 1 , wherein the executed instructions further cause the one or more processors to:

access, over the one or more wireless networks, social network content of the user from the one or more social media sources; and

determine, based on the social network content of the user, one or more health-related markers of the user, the one or more health-related markers indicating a lifestyle category of the user.

6. The computer system of claim 5 , wherein the lifestyle category comprises a dietary category of the user.

7. The computer system of claim 5 , wherein the lifestyle category indicates that the user is a smoker.

8. The computer system of claim 5 , wherein the executed instructions cause the one or more processors to analyze the social network content of the user by performing at least one of image analysis or text analysis on the social network content of the user.

9. A non-transitory computer-readable medium storing instructions that, when executed by one or more processors, cause the one or more processors to:

communicate, over one or more wireless networks, with (i) a health service application executing computing devices of users of a health service, and (ii) one or more social media sources;

store, in a database, a collection of health assertions pertaining to human health, wherein each respective health assertion in the collection of health assertions corresponds to a health topic and comprises a correlative health value based on answers to the respective health assertion from individuals in a control group of which a health outcome is known, and wherein the collection of health assertions are configured to test general health knowledge of the users of the health service and not query user-specific health information of the users;

access, from the one or more social media sources over the one or more wireless networks, social network content of a plurality of the individuals in the control group;

analyze the social network content to at least partially identify the known health outcomes of the plurality of individuals in the control group;

execute, by the computer system, a correlation model to determine the correlative health value for each respective health assertion in the collection of health assertions based on (i) the answers to the respective health assertion provided by the individuals in the control group, and (ii) the known health outcomes of the individuals in the control group, wherein the correlative health value for each respective health assertions in the collection of health assertions corresponds to a set of health correlations between knowledge of the respective health assertion and the known health outcomes of the individuals in the control group;

generate a health trivia session via a user interface of the health service application executing on a computing device of a user of the health service, the health trivia session prompting the user to provide, via the user interface of the executing health service application, responses to a series of health assertions from the collection of health assertions;

receive, over the one or more wireless networks, data indicating the responses by the user to the series of health assertions from the health service application executing on the computing device of the user;

generate a health knowledge profile for the user based on a correctness or incorrectness of each response in the responses by the user to the series of health assertions in the health trivia session;

generate a health profile of the user based, at least partially, on the health knowledge profile of the user; and

generate, via the executing health service application, a service customer interface displaying a health service product for the user, the service customer interface enabling the user to redeem the health service product, wherein the health service product is priced based on the health profile of the user.

10. The non-transitory computer-readable medium of claim 9 , wherein the health service product comprises at least one of a health insurance product or a life insurance product.

11. The non-transitory computer-readable medium of claim 10 , wherein the executed instructions cause the one or more processors to determine a premium or deductible for the at least one of the health insurance product or the life insurance product based on the health profile.

12. The non-transitory computer-readable medium of claim 9 , wherein the executed instructions further cause the one or more processors to:

obtain a biological input of the user;

wherein the executed instructions cause the one or more processors to further generate the health profile of the user based on the biological input.

13. The non-transitory computer-readable medium of claim 9 , wherein the executed instructions further cause the one or more processors to:

access, over the one or more wireless networks, social network content of the user from the one or more social media sources; and

determine, based on the social network content of the user, one or more health-related markers of the user, the one or more health-related markers indicating a lifestyle category of the user.

14. The non-transitory computer-readable medium of claim 13 , wherein the lifestyle category comprises a dietary category of the user.

15. The non-transitory computer-readable medium of claim 13 , wherein the lifestyle category indicates that the user is a smoker.

16. The non-transitory computer-readable medium of claim 13 , wherein the executed instructions cause the one or more processors to analyze the social network content of the user by performing at least one of image analysis or text analysis on the social network content of the user.

17. The computer system of claim 1 , wherein the known health outcomes of the plurality of individuals in the control group, as indicated by the social network content, corresponds to death of the plurality of individuals in the control group.

18. The non-transitory computer-readable medium of claim 9 , wherein the known health outcomes of the plurality of individuals in the control group, as indicated by the social network content, corresponds to death of the plurality of individuals in the control group.

Assignments (8)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Aug 31, 2023
From: HI.Q, INC.; HEALTH IQ INSURANCE SERVICES, INC.
To: DASIR, LLC
Reel/Frame 064761/0828 →
RELEASE OF SECURITY INTEREST Recorded Dec 15, 2021
From: HEALTH IQ INSURANCE SERVICES, INC.; HI.Q, INC.
To: WESTERN ALLIANCE BANK
Reel/Frame 058396/0088 →
RELEASE OF SECURITY INTEREST Recorded Mar 27, 2020
From: SILICON VALLEY BANK
To: HI.Q, INC.
Reel/Frame 052245/0728 →
SECURITY INTEREST Recorded Mar 26, 2020
From: HI.Q, INC.
To: WESTERN ALLIANCE BANK
Reel/Frame 052236/0472 →
CORRECTIVE ASSIGNMENT TO CORRECT THE RECEIVING PARTY DATA PREVIOUSLY RECORDED AT REEL: 040845 FRAME: 0565. ASSIGNOR(S) HEREBY CONFIRMS THE ASSIGNMENT. Recorded Nov 11, 2019
From: JIAO, SHUO; SHAH, MUNJAL; HINCHEY, RYAN; FAN, CATHY YE; SINGH, ARDAMAN
To: HI.Q, INC.
Reel/Frame 050980/0204 →
SECURITY INTEREST Recorded Dec 18, 2018
From: HI.Q, INC.
To: TRIPLEPOINT VENTURE GROWTH BDC CORP.
Reel/Frame 047806/0515 →
SECURITY INTEREST Recorded Jan 27, 2017
From: HI.Q, INC.
To: SILICON VALLEY BANK
Reel/Frame 041110/0034 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jan 4, 2017
From: JIAO, SHUO; SHAH, MUNJAL; HINCHEY, RYAN; FAN, CATHY YE; SINGH, ARDAMAN
To: HEALTH EQUITY LABS
Reel/Frame 040845/0565 →
Continuity (3)
Continuation In Part 14642709 · Mar 9, 2015
Continuation In Part 14542347 · Nov 14, 2014
Related Publication 20170103180A1 · Apr 13, 2017
Cited By (12)
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