IP Library Granted Patent US 10,546,339
Granted Patent B2
US 10,546,339 · App. 14/542,454 · Granted Jan 28, 2020

System and method for providing a health service benefit based on a knowledge-based prediction of a person's health

Inventors: Shuo Jiao (Sunnyvale, CA); Munjal Shah (Los Altos, CA); Ardaman Singh (Union City, CA)
Assignee: Hi.Q, Inc.
G06Q30/0631G06Q50/22
View Patent ↗
Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US 10,546,339
App. No.
14/542,454
Granted
Jan 28, 2020
Kind
B2
Abstract

A network computing system implements a health service comprising a health trivia game and connects, over one or more wireless networks, with the computing devices of users of the health service. The network computing system provides sequences of topical health questions and receives corresponding sequences of responses from the users. Based on a correctness of each response, the network computing system determines a predicted health outcome of a respective user of the health service, and generates a health report that is accessible via a user interface of the health trivia game.

Claims (31)

1. A network computing system implementing an electronic health service trivia game, comprising:

a network communication interface connecting, over one or more wireless networks, with computing devices of users of the electronic health service trivia game;

a database storing a collection of health assertions pertaining to human health, wherein each respective health assertion in the collection of health assertions 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 is configured to test general health knowledge of the users of the health service and not query user-specific health information of the users;

one or more processors; and

a memory storing instructions that, when executed by the one or more processors, cause the network computing system to:

execute, by the network computing 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 each of the individuals in the control group, wherein the correlative health value for each respective health assertion in the collection of health assertions corresponds to a set of health correlations between knowledge of the respective health assertions and the known health outcomes of the individuals in the control group, the control group comprising an order of hundreds or thousands of individuals;

categorize the health assertions into a plurality of health topics in the database for the electronic health service trivia game, each respective health assertion of the collection of health assertions corresponding to a correct answer and one or more incorrect answers in the electronic service trivia game;

based on a user input causing execution of the electronic health service trivia game on a computing device of a user of the electronic health service trivia game, generate, over the one or more wireless networks, a sequence of health assertions from the collection of health assertions in the database to be displayed on a user interface of the computing device of the user, the sequence of health assertions corresponding to one or more health topics;

receive, over the one or more wireless networks, data indicating a corresponding sequence of responses to the sequence of health assertions, each response in the corresponding sequence of responses corresponding to a selection by the user of a selected icon from a plurality of selectable icons on the user interface, wherein each of the plurality of selectable irons corresponds to a correct or incorrect response to a currently displayed health assertion on the user interface;

for each response in the corresponding sequence of responses, determine a correctness or incorrectness of the response;

based on the correctness or incorrectness of each response in the corresponding sequence of responses received, over the one or more wireless networks, from the computing device of the user, generate a knowledge profile for the user, the knowledge profile indicating a health knowledge level of the user for the one or more health topics;

based on (i) the knowledge profile of the user and (ii) the correlative health value of each health assertion in the sequence of health assertions, determine a predicted health outcome of the user;

based on the predicted health outcome of the user, determine a health service benefit for the user, the health service benefit comprising a particular price structure that is based at least in part on the results of the user in playing the electronic health service trivia game; and

generate, one the computing device of the user, a service customer interface displaying the health service benefit determined based on the predicted health outcome of the user, the service customer interface enabling the user to redeem the health service benefit.

2. The network computing system of claim 1 , wherein the health service benefit comprises

a health insurance package for the user based on the predicted health outcome.

3. The network computing system of claim 2 , wherein the

health service benefit further comprises at least one of a premium, a deductible, or a scope of coverage for the health insurance package for the user.

4. The network computing system of claim 3 , wherein the health service benefit comprises a discount for the health insurance package for the user based on the predicted health outcome.

5. The network computing system of claim 4 , wherein the executed instructions cause the network computing system to determine the health service benefit for the user without determining whether the user has a pre-existing medical condition.

6. The network computing system of claim 5 , wherein the executed instructions cause the network computing system to determine the health service benefit for the user without use of a biological sample of the user.

7. The network computing system of claim 1 , wherein the executed instructions further cause the network computing system to: based on the predicted health outcome of the user, determine a predicted a health cost for providing healthcare to the user over a duration of time.

8. The network computing system of claim 1 , wherein the executed instructions further cause the network computing system to:

determine, based on the predicted health outcome of the user, a predicted number of visits to a medical health facility for the user in a future time interval.

9. The network computing system of claim 1 , wherein the executed instructions further cause the network computing system to:

determine, based on the predicted health outcome of the user, a predicted number of sick days for the user in a future time interval.

10. The network computing system of claim 1 , wherein the executed instructions further cause the network computing system to:

determine, based on the predicted health outcome of the user, a number of prescriptions that the user will be prescribed over a future time interval.

11. The network computing system of claim 1 , wherein the executed instructions further cause the network computing system to: determine, based on the predicted health outcome of the user, an expected health care cost amount to be expended by at least one of the user or a healthcare provider of the user.

12. The network computing system of claim 1 , wherein the predicted health outcome corresponds to at least one of blood sugar level, weight, body fat, cholesterol level, depression, anxiety, or longevity.

13. The network computing system of claim 1 , wherein each health assertion in the collection of health assertions in the database is further associated with a difficulty level, and wherein the executed instructions cause the network computing system to further generate the knowledge profile for the user based on the difficulty level of each health assertion in the sequence of the health assertions.

Assignments (10)
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: 034179 FRAME: 0755. ASSIGNOR(S) HEREBY CONFIRMS THE ASSIGNMENT. Recorded Nov 11, 2019
From: JIAO, SHUO; SHAH, MUNJAL; SINGH, ARDAMAN
To: HI.Q, INC.
Reel/Frame 050979/0907 →
SECURITY INTEREST Recorded Dec 18, 2018
From: HI.Q, INC.
To: TRIPLEPOINT VENTURE GROWTH BDC CORP.
Reel/Frame 047806/0515 →
RELEASE OF SECURITY INTEREST Recorded Dec 18, 2018
From: VENTURE LENDING & LEASING VII, INC.; VENTURE LENDING & LEASING VIII, INC.
To: HI. Q, INC.
Reel/Frame 047805/0453 →
SECURITY INTEREST Recorded Jan 27, 2017
From: HI.Q, INC.
To: SILICON VALLEY BANK
Reel/Frame 041110/0034 →
SECURITY INTEREST Recorded Apr 25, 2016
From: HI.Q, INC.
To: VENTURE LENDING & LEASING VII, INC.; VENTURE LENDING & LEASING VIII, INC.
Reel/Frame 038521/0146 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Nov 14, 2014
From: JIAO, SHUO; SHAH, MUNJAL; SINGH, ARDAMAN
To: HEALTH EQUITY LABS
Reel/Frame 034179/0755 →
Continuity (1)
Related Publication 20160140642A1 · May 19, 2016
Cited By (11)
US 12,211,594 US 12,217,226 US 12,230,406 US 12,248,383 US 12,248,384 US 12,248,388 US 12,248,389 US 12,282,408 US 12,354,714 US 12,487,901 US 12,561,657