US2022344010A1PendingUtilityA1

Computing system correlating health knowledge and activity data with predictive health outcomes

Assignee: HI Q INCPriority: Nov 14, 2014Filed: May 18, 2022Published: Oct 27, 2022
Est. expiryNov 14, 2034(~8.3 yrs left)· nominal 20-yr term from priority
G16H 50/30G16H 10/20
74
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Claims

Abstract

A computing system includes a database having a collection of health-related assertions for a health quiz to be taken by users. Each health assertion is tuned with a set of correlative health values based on responses to the health assertion provided by a control group of users. The system can determine the set of correlative health values for each health assertion based on the actual health outcomes of the control group users. Using the correlative values for each health assertion and activity data from a wearable activity monitoring device of a user, the computing system can generate a health profile of the user who interacts with a health trivia session comprising a subset of the health assertions.

Claims

exact text as granted — not AI-modified
What is claimed is: 
     
         1 . A computing system implementing health service, the computing system comprising:
 a network communication interface to communicate, over one or more wireless networks, with computing devices of users of the health service;   one or more processors;   a memory storing instructions that, when executed by the one or more processors, cause the one or more processors to:
 execute a correlation model to determine a set of correlation values for each respective health assertion in a collection of health assertions based on (i) responses to the respective health assertion provided by individuals in a control group, and (ii) known health outcomes of each individual in the control group, wherein the set of correlation values for each respective health assertion in the collection corresponds to a set of health correlations between knowledge associated with the respective health assertion and the known health outcomes of the individuals in the control group; 
 receive, over the one or more wireless networks, activity data from a wearable activity monitoring device of a user of the health service; 
 detect, over the one or more wireless networks, a health trivia session occurring on a computing device of the user, the health trivia session comprising a set of health assertions from the collection of health assertions and a corresponding set of responses to the set of health assertions provided by the user; 
 based on (i) the corresponding set of responses, (ii) the set of correlation values of each health assertion in the set of health assertions provided during the health trivia session, and (iii) the activity data of the user, generate a health profile for the user; and 
 based on the health profile of the user, transmit, over the one or more wireless networks, display data to the computing device of the user, the display data causing a service customer interface to be displayed on the computing device of the user, the service customer interface enabling the user to redeem or purchase a health service product that is based on the health profile of the user. 
   
     
     
         2 . The computing system of  claim 1 , wherein the executed instructions further cause the computing system to:
 transmit, over the one or more wireless, a set of queries to the computing device of the user, the set of queries being transmitted to determine at least one of an age, a gender, a weight, or a height of the user;   wherein the executed instructions cause the computing system to further generate the health profile of the user based on the at least one of the age, the gender, the weight, or the height of the user.   
     
     
         3 . The computing system of  claim 1 , wherein the executed instructions further cause the computing system to:
 receive, over the one or more wireless networks, health data indicating actual health outcomes of additional users of the health service; and   include the additional users into the control group.   
     
     
         4 . The computing system of  claim 3 , wherein the executed instructions cause the computing system to include the additional users in the control group by:
 determining previous responses to a subset of the collection of health assertions provided by each of the additional users; and   based on the previous responses and the health data of the additional users, executing the correlation model to calibrate the set of correlation values of each health assertion in the subset of the collection of health assertions.   
     
     
         5 . The computing system of  claim 1 , wherein the set of correlation values for each respective health assertion in a collection of health assertions maps the respective health assertion to at least one of a plurality of possible health outcomes. 
     
     
         6 . The computing system of  claim 5 , wherein the plurality of possible health outcomes correspond to a risk of at least one of cancer, heart disease, diabetes, hypertension, or obesity. 
     
     
         7 . The computing system of  claim 1 , wherein the health service product comprises one of a life insurance product or a health insurance product. 
     
     
         8 . A non-transitory computer-readable medium storing instructions that, when executed by one or more processors of a computing system, cause the computing system to:
 communicate, over one or more wireless networks, with computing devices of users of the health service;   execute a correlation model to determine a set of correlation values for each respective health assertion in a collection of health assertions based on (i) responses to the respective health assertion provided by individuals in a control group, and (ii) known health outcomes of each individual in the control group, wherein the set of correlation values for each respective health assertion in the collection corresponds to a set of health correlations between knowledge associated with the respective health assertion and the known health outcomes of the individuals in the control group;   receive, over the one or more wireless networks, activity data from a wearable activity monitoring device of a user of the health service;   detect, over the one or more wireless networks, a health trivia session occurring on a computing device of the user, the health trivia session comprising a set of health assertions from the collection of health assertions and a corresponding set of responses to the set of health assertions provided by the user;   based on (i) the corresponding set of responses, (ii) the set of correlation values of each health assertion in the set of health assertions provided during the health trivia session, and (iii) the activity data of the user, generate a health profile for the user; and   based on the health profile of the user, transmit, over the one or more wireless networks, display data to the computing device of the user, the display data causing a service customer interface to be displayed on the computing device of the user, the service customer interface enabling the user to redeem or purchase a health service product that is based on the health profile of the user.   
     
     
         9 . The non-transitory computer-readable medium of  claim 8 , wherein the executed instructions further cause the computing system to:
 transmit, over the one or more wireless, a set of queries to the computing device of the user, the set of queries being transmitted to determine at least one of an age, a gender, a weight, or a height of the user;   wherein the executed instructions cause the computing system to further generate the health profile of the user based on the at least one of the age, the gender, the weight, or the height of the user.   
     
     
         10 . The non-transitory computer-readable medium of  claim 8 , wherein the executed instructions further cause the computing system to:
 receive, over the one or more wireless networks, health data indicating actual health outcomes of additional users of the health service; and   include the additional users into the control group.   
     
     
         11 . The non-transitory computer-readable medium of  claim 10 , wherein the executed instructions cause the computing system to include the additional users in the control group by:
 determining previous responses to a subset of the collection of health assertions provided by each of the additional users; and   based on the previous responses and the health data of the additional users, executing the correlation model to calibrate the set of correlation values of each health assertion in the subset of the collection of health assertions.   
     
     
         12 . The non-transitory computer-readable medium of  claim 8 , wherein the set of correlation values for each respective health assertion in a collection of health assertions maps the respective health assertion to at least one of a plurality of possible health outcomes. 
     
     
         13 . The non-transitory computer-readable medium of  claim 12 , wherein the plurality of possible health outcomes correspond to a risk of at least one of cancer, heart disease, diabetes, hypertension, or obesity. 
     
     
         14 . The non-transitory computer-readable medium of  claim 8 , wherein the health service product comprises one of a life insurance product or a health insurance product. 
     
     
         15 . A computer-implemented method of facilitating a health service, the method being performed by one or more processors and comprising:
 communicating, over one or more wireless networks, with computing devices of users of the health service;   executing a correlation model to determine a set of correlation values for each respective health assertion in a collection of health assertions based on (i) responses to the respective health assertion provided by individuals in a control group, and (ii) known health outcomes of each individual in the control group, wherein the set of correlation values for each respective health assertion in the collection corresponds to a set of health correlations between knowledge associated with the respective health assertion and the known health outcomes of the individuals in the control group;   receiving, over the one or more wireless networks, activity data from a wearable activity monitoring device of a user of the health service;   detecting, over the one or more wireless networks, a health trivia session occurring on a computing device of the user, the health trivia session comprising a set of health assertions from the collection of health assertions and a corresponding set of responses to the set of health assertions provided by the user;   based on (i) the corresponding set of responses, (ii) the set of correlation values of each health assertion in the set of health assertions provided during the health trivia session, and (iii) the activity data of the user, generating a health profile for the user; and   based on the health profile of the user, transmitting, over the one or more wireless networks, display data to the computing device of the user, the display data causing a service customer interface to be displayed on the computing device of the user, the service customer interface enabling the user to redeem or purchase a health service product that is based on the health profile of the user.   
     
     
         16 . The method of  claim 15 , further comprising:
 transmitting, over the one or more wireless, a set of queries to the computing device of the user, the set of queries being transmitted to determine at least one of an age, a gender, a weight, or a height of the user;   wherein the one or more processors further generate the health profile of the user based on the at least one of the age, the gender, the weight, or the height of the user.   
     
     
         17 . The method of  claim 15 , further comprising:
 receiving, over the one or more wireless networks, health data indicating actual health outcomes of additional users of the health service; and   including the additional users into the control group.   
     
     
         18 . The method of  claim 17 , wherein the one or more processors include the additional users in the control group by:
 determining previous responses to a subset of the collection of health assertions provided by each of the additional users; and   based on the previous responses and the health data of the additional users, executing the correlation model to calibrate the set of correlation values of each health assertion in the subset of the collection of health assertions.   
     
     
         19 . The method of  claim 15 , wherein the set of correlation values for each respective health assertion in a collection of health assertions maps the respective health assertion to at least one of a plurality of possible health outcomes. 
     
     
         20 . The method of  claim 19 , wherein the plurality of possible health outcomes correspond to a risk of at least one of cancer, heart disease, diabetes, hypertension, or obesity.

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