Risk factor engine that determines a user health score using a food consumption trend, and predicted user weights
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.
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, wherein the received user health data is used to detect potential user health risks;
receives protocol data at the network interface for detecting the potential user health risks based on the received user health data, wherein the protocol data including a rule and one or more health attribute values configured for the detection of the user health risks, and wherein the rule and the one or more health attribute values each including a editable computer programming expression;
processes user health data according to the protocol data, wherein the protocol data dictates when the health data is processed and what action is to be taken based on an output of the processed health data;
determines a user health score based on the processed user health data, wherein determining the user health score includes:
evaluating the expressions of the one or more health attribute values, wherein the one or more health attribute values are calculated using the user health data, and
evaluating the expression of the rule alongside the health attribute values to obtain the user health score;
compares the user health score to a predetermined threshold, wherein the predetermined threshold is based on the user health data;
executes a first action based on the comparison of the user health score to the predetermined threshold, the executed action includes informing the user and, wherein the executed action is designed to increase the user health score, and
executes a second action through 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.
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 according to protocol data, wherein the protocol data includes a rule and one or more health attribute values configured for detection of user health risks, the rule and the one or more health attribute values each including an editable computer programming expression;
determining a user health score through execution of the risk factor coaching engine by the processor and based on the processed first set of stored user health data, wherein determining the user health score includes evaluating the expressions of the one or more health attribute values, wherein the one or more health attribute values are calculated using the user health data, and then evaluating the expression of the rule alongside the health attribute values to obtain the user health score;
performing a first action through execution of the risk factor coaching engine by the processor and based on the user health score; and
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.
11. 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.
12. The method claim 11 , wherein the first action includes reporting the predicted user life span.
13. 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.
14. 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.
15. The method of claim 10 , wherein the user health score is associated with a user expected life span.
16. The method of claim 10 , wherein the first action includes reporting to the user a user action required to achieve a user goal.
17. The method of claim 10 , wherein the first action includes automatically generating a goal for the user.
18. 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.
19. The method of claim 18 , 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.