A method that includes receiving information related to a wellness of a user from a plurality of data sources associated with the user, generating a wellness rating for the user, the generating of the wellness rating being based in part on the received information and based further in part on one or more weighting factors applied to the received information, and providing to the user an indication of the generated wellness rating and recommendations for improving the wellness of the user. At a time subsequent to the providing, receiving additional information related to the wellness of the user from at least one of the plurality of data sources associated with the user and generating, based at least in part on the receiving of the additional information, a modified wellness rating for the user.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. A computer-implemented method, comprising: receiving, by one or more computing systems configured to provide a wellness information analysis service, information related to a wellness of a user from one or more of a plurality of data sources associated with the user; generating, by the one or more configured computing systems, a wellness rating for the user, the generating of the wellness rating including applying one or more weighting factors to the received information; providing to the user, by the one or more configured computing systems, an indication of the generated wellness rating and one or more recommendations for improving the wellness of the user, the one or more recommendations being based at least in part on at least some of the received information; after the providing of the one or more recommendations, receiving, by the one or more configured computing systems, additional information related to the wellness of the user from at least one of the plurality of data sources associated with the user; and generating, by the one or more configured computing systems and based at least in part on the additional information, a modified wellness rating for the user. 2. The computer-implemented method of claim 1 wherein the method is performed for each of a plurality of users associated with a single entity. 3. The computer-implemented method of claim 2 wherein, for each of at least some of the plurality of associated users, receiving the information related to the wellness of the user includes receiving information from the single entity. 4. The computer-implemented method of claim 3 wherein, for one of the at least some of the associated users, generating the wellness rating includes applying at least one of the one or more weighting factors to the information received from the single entity. 5. The computer-implemented method of claim 2 wherein providing the one or more recommendations includes generating at least one recommendation to improve an aggregate wellness of at least some of the plurality of users associated with the single entity. 6. The computer-implemented method of claim 1 wherein receiving the information related to the wellness of the user includes receiving an indication of one or more interactions of the user with a graphical user interface provided by the wellness information analysis service. 7. The computer-implemented method of claim 1 wherein receiving the information related to the wellness of the user includes receiving responses from the user to one or more queries provided to the user. 8. The computer-implemented method of claim 1 wherein receiving the information related to the wellness of the user includes receiving at least one assessment of biological material from the user. 9. The computer-implemented method of claim 1 wherein receiving the information related to the wellness of the user includes receiving one or more medical records of the user. 10. The computer-implemented method of claim 1 wherein receiving the information related to the wellness of the user includes receiving at least some of the information from one or more devices of the user via a programmatic interface of the wellness information analysis service. 11. The computer-implemented method of claim 1 wherein receiving the information related to the wellness of the user includes receiving at least some of the information via a programmatic interface of the wellness information analysis service from one or more third-party services associated with the user. 12. The computer-implemented method of claim 1 wherein the user is one of multiple users, wherein the generating of the wellness rating for the one user includes applying a first set of one or more weighting factors to the information received for the one user, wherein the method further comprises generating an additional wellness rating for another of the multiple users, and wherein generating the additional wellness rating includes applying a distinct second set of weighting factors to information received for the another user. 13. The computer-implemented method of claim 1 wherein the applying of the one or more weighting factors to the received information includes applying at least one weighting factor to the received information that is based at least in part on one or more data sources that are not associated with the user. 14. The computer-implemented method of claim 13 wherein the applying of the at least one weighting factor includes applying at least one weighting factor based at least in part on one of a group that includes public demographic data, geographical data, one or more governmental databases, and one or more medical databases. 15. The computer-implemented method of claim 1 wherein generating the wellness rating for the user includes generating multiple distinct wellness ratings for the user with respect to each of multiple wellness categories. 16. The computer-implemented method of claim 1, further comprising: generating one or more distinct additional recommendations for the user based at least in part on the received additional information, and providing the user with one or more indications of the modified wellness rating and of the one or more additional recommendations. 17. The computer-implemented method of claim 1 wherein the received additional information includes an indication that the user has taken one or more actions subsequent to the providing of the one or more recommendations, and wherein the method further comprises providing a reward to the user based at least in part on the one or more actions taken by the user. 18. The computer-implemented method of claim 17 wherein at least one of the one or more actions taken by the user is in accordance with at least one of the provided recommendations. 19. A wellness information analysis system, comprising: one or more processors; one or more first components that, when executed by at least one of the one or more processors: for each of a plurality of respective users associated with an entity, receives information related to a respective wellness of the respective user; and for each of the plurality of respective users, generates one or more wellness ratings associated with the respective user based at least in part on one or more weighting factors applied to the received information, wherein each of the one or more generated wellness ratings for the respective user indicates a value representative of the wellness of the respective user with respect to one or more of multiple categories; and one or more second components that, when executed by at least one of the one or more processors: analyzes the received information for each of the plurality of respective users, wherein the analysis of the received information includes a determination of a respective priority to assign to each of at least some of the multiple categories with respect to at least some of the plurality of respective users; determines, based on the analysis of the received information, one or more recommendations for facilitating an aggregate improvement of a health of the plurality of users with respect to one or more of the multiple categories; and provides one or more indications to the entity of at least one of the one or more determined recommendations. 20. The wellness information analysis system of claim 19 wherein the one or more first components, when executed by at least one of the one or more processors: receives, after the at least one indicated recommendation is provided, additional information related to the respective wellness of at least one of the respective users; based at least in part on the received additional information, determines one or more additional recommendations for facilitating the aggregate improvement of the health of the plurality of users; and provides an indication to the entity of the one or more additional recommendations. 21. The wellness information analysis system of claim 19 wherein, for at least one of the respective users, the information for the respective user is received from one or more of multiple data sources associated with the respective user. 22. The wellness information analysis system of claim 21 wherein, for the at least one respective user, the multiple data sources include one or more of a client device of the user, a medical provider associated with the user, and an employer of the user. 23. The computer-implemented method of claim 19 wherein, for each of at least one of the respective users, at least one of the one or more weighting factors applied to the information for the respective user is based at least in part on data sources that are not associated with the respective user. 24. The wellness information analysis system of claim 19 wherein the one or more second components provide the indication to the entity of the at least one determined recommendation via a graphical user interface of the wellness information analysis system. 25. The wellness information analysis system of claim 19 wherein the one or more second components provide the indication to the entity of the at least one determined recommendation in a manner consistent with one or more regulatory requirements related to privacy of at least one of the respective users.