RISK FACTOR ENGINE THAT DETERMINES A USER HEALTH SCORE

• US 20140222457A1
• Filed: 04/10/2014
• Published: 08/07/2014
• Est. Priority Date: 11/23/2009
• Status: Active Grant

• Current Assignee: Welltok Acquisition, LLC
• Original Assignee: Keas, Inc. (Red Intermediate Co. LLC)
• Inventors: Bosworth, Adam, Kassabgi, George, Richter, Stephan, Statman, Stu
• Granted Patent: US 9,378,335 B2
• Time in Patent Office: Days
• US Class Current: 705/2
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems
• CPC Class Codes: G16H 50/30 for calculating health indices; for individual health risk assessment

Abstract

A method for processing risk factors for a user is disclosed. The method may include receiving protocol data for creating a risk factor engine by an application stored and executed at a computing device. The risk factor engine may be stored in memory and executable by a processor to process a first set of stored user health data for a user. The protocol data may include a rule and one or more health attribute values. The rule and the one or more health attribute values may each include a computer programming expression editable by an administrator. The method may further include determining a user health score through execution of the risk factor engine by the processor and based on the user health data.

Claims

1. A health risk factor management system, comprising:

a processor;

a network interface; and

memory storing an executable application, whereby execution of the application by the processor;

receives user health data at the network interface;

receives protocol data at the network interface, the protocol data including a rule and one or more health attribute values, the rule and the one or more health attribute values each including an editable computer programming expression editable;

processes user health data according to the protocol data;

determines a user health score based on the user health data, wherein determining the user health score includes evaluating the expressions of the one or more health attribute values by inputting the user health data to calculate one or more calculated health attribute values, and then evaluating the expression of the rule by inputting the one or more calculated health attribute values to calculate the user health score;

compares the user health score to a predetermined threshold; and

executes an action based on the comparison of the user health score to the predetermined threshold, the action designed to increase the user health score.

2. The health risk factor management system of claim 1, wherein the action is reporting to the user a task that when completed by the user will increase the user health score.

3. The health risk factor management system of claim 1, wherein the user health data includes food consumption data.

4. The health risk factor management system of claim 3, wherein the action is reporting to the user food items that if avoided will increase the user health score.

5. The health risk factor management system of claim 1, wherein the expression of the rule returns a predicted user life span based on the one or more calculated health attribute values.

6. The health risk factor management system claim 5, wherein the action includes reporting the predicted user life span to the user.

7. The health risk factor management system of claim 1, wherein the action includes determining a predicted user weight based on the one or more calculated health attribute values.

8. The health risk factor management system of claim 1, wherein the action includes determining a predicted user attribute based on a trend calculated from historical user health data stored in memory.

9. The health risk factor management system of claim 1, wherein the action includes reporting to the user a task required to achieve a user goal stored in memory.

10. A method for managing health risk factors, comprising:

receiving protocol data for creating a risk factor coaching engine by an application stored and executed at a computing device, the risk factor coaching engine stored in memory and executable by a processor to process a first set of stored user health data for a user, wherein the protocol data includes a rule and one or more health attribute values, the rule and the one or more health attribute values each including an editable computer programming expression editable;

determining a user health score through execution of the risk factor coaching engine by the processor and based on the user health data, wherein determining the user health score includes evaluating the expressions of the one or more health attribute values by inputting the user health data to calculate one or more calculated health attribute values, and then evaluating the expression of the rule by inputting the one or more calculated health attribute values to calculate the user health score; and

performing a first action through execution of the risk factor coaching engine by the processor and based on the user health score.

11. The method of claim 10, further comprising performing a second action through execution of the risk factor coaching engine by the processor and based on the user health score, wherein the health data includes a food consumption trend generated from food consumption data received from the user, the first action includes determining a predicted user weight based on the food consumption trend, and the second action includes reporting to the user a health action required to achieve or avoid the predicted user weight.

12. The method of claim 10, wherein the expression of the rule returns a predicted user life span based on the one or more calculated health attribute values.

13. The method claim 12, wherein the first action includes reporting the predicted user life span.

14. The method of claim 10, wherein the first action includes determining a predicted user weight based on the one or more calculated health attribute values.

15. The method of claim 10, wherein the first action includes determining a predicted user attribute based on a trend calculated from a portion of the user health data.

16. The method of claim 10, wherein the user health score is associated with a user expected life span.

17. The method of claim 10, wherein the first action includes reporting to the user a user action required to achieve a user goal.

18. The method of claim 10, wherein the first action includes automatically generating a goal for the user.

19. The method of claim 10, wherein the first action includes retrieving a health service user list identifying a plurality of users participating in a health service.

20. The method of claim 19, wherein the first action includes automatically signing the user up for a health service when the user is not subscribed to the health service user list.