US2023019375A1PendingUtilityA1

Automated health data acquisition, processing and communication system

69
Assignee: DACADOO AGPriority: May 23, 2014Filed: Sep 15, 2022Published: Jan 19, 2023
Est. expiryMay 23, 2034(~7.9 yrs left)· nominal 20-yr term from priority
G16H 10/20G16H 20/60G16H 20/30G16H 20/70G16H 50/50G16H 15/00G16H 50/30
69
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Claims

Abstract

A system and method are disclosed for computing a Health Score. Health data and extrinsic data are received that are parameters for computation of the Health Score. The received data can be combined using an algorithm being implemented as code executing in a processor so as to compute the Health Score of the individual wherein parameters comprising one portion of the data interacts with parameters comprising another portion of the data. Further, the computed Health Score is output to an interface of the user device. Information concerning the parameters' interaction are selectively output to the interface that explain which changes in the parameters are significant drivers of the change in the Health Score.

Claims

exact text as granted — not AI-modified
What is claimed: 
     
         1 . A method for computing a health score of an individual, comprising:
 receiving health data and extrinsic data as parameters for computation of the health score;   combining the received data using an algorithm being implemented as code executing in a processor so as to compute the health score of the individual wherein parameters comprising one portion of the data interacts with parameters comprising another portion of the data;   outputting the computed health score to an interface of the user device; and   selectively outputting information concerning the parameters' interaction to the interface that explain which changes in the parameters are significant drivers of the change in the health score.   
     
     
         2 . The method of  claim 1 , wherein the health score is presented in the interface as falling in one of a plurality of predefined bands. 
     
     
         3 . The method of  claim 2 , wherein the bands comprise a relative scale in comparison to fixed percentile criteria. 
     
     
         4 . The method of  claim 2 , wherein the bands are presented in a color-coded manner within the interface. 
     
     
         5 . The method of  claim 1 , further comprising executing code in the processor to configure the processor to simulate score evolution using a trend in the extrinsic data. 
     
     
         6 . The method of  claim 1 , further comprising using an analytical engine comprising code executing in the processor to configure the processor to set, combine, arrange and/or calculate values for one or more of the parameters. 
     
     
         7 . The method of  claim 6 , wherein the analytical engine utilizes one or more mathematical models in computing the health score. 
     
     
         8 . The method of  claim 7 , wherein one of the mathematical models is a cardiovascular risk model or a lifestyle model. 
     
     
         9 . The method of  claim 1 , wherein the feedback engine includes at least one of a user challenge, a group challenge and facts. 
     
     
         10 . A system for computing a health score of an individual, comprising:
 a communication unit operable to receive health data and extrinsic data as parameters for computation of the health score;   a memory arranged to store the received data;   a processor arranged to combine the received data using an algorithm being implemented as code executing in the processor so as to compute the health score of the individual wherein parameters comprising one portion of the data interacts with parameters comprising another portion of the data;   the processor being further arranged to execute additional code to output the computed health score to an interface of the user device; and   the processor being further arranged to execute additional code to selectively output information concerning the parameters' interaction to the interface that explain which changes in the parameters are significant drivers of the change in the health score.   
     
     
         11 . The system of  claim 10 , wherein the health score is presented in the interface as falling in one of a plurality of predefined bands. 
     
     
         12 . The system of  claim 11 , wherein the bands comprise a relative scale in comparison to fixed percentile criteria. 
     
     
         13 . The system of  claim 11 , wherein the bands are presented in a color-coded manner within the interface. 
     
     
         14 . The system of  claim 10 , wherein the processor is further arranged to execute additional code to configure the processor to simulate score evolution using a trend in the extrinsic data. 
     
     
         15 . The system of  claim 10 , wherein the processor is further arranged to execute additional code to configure the processor to set, combine, arrange and/or calculate values for one or more of the parameters. 
     
     
         16 . The system of  claim 15 , wherein the analytical engine utilizes one or more mathematical models in computing the health score. 
     
     
         17 . The system of  claim 16 , wherein one of the mathematical models is a cardiovascular risk model or a lifestyle model. 
     
     
         18 . A computer-implemented method, comprising:
 receiving user goal data concerning activity and participation;   using a feedback engine to monitor data concerning at least one from a group consisting of movement, nutrition, sleep and stress;   processing, by at least one processor configured to execute instructions stored on computer readable media, the monitored data using a behavioral algorithm; and   providing notifications to a user in view of the behavioral processing so as to recommend activity participation that is consistent with the user goals.

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