System and method for educating users, including responding to patterns
Provided are systems and methods using which users may learn and become familiar with the effects of various aspects of their lifestyle on their health, e.g., users may learn about how food and/or exercise affects their glucose level and other physiological parameters, as well as overall health. In some cases the user selects a program to try; in other cases, a computing environment embodying the system suggests programs to try, including on the basis of pattern recognition, i.e., by the computing environment determining how a user could improve a detected pattern in some way. In this way, users such as type II diabetics or even users who are only prediabetic or non-diabetic may learn healthy habits to benefit their health.
1. A method of optimizing a diabetes therapy involving a medicament, comprising:
receiving data about a first medicament to be ingested by a user in a first regimen, wherein the first regimen indicates a course of treatment for the user including ingestion of the first medicament;
monitoring and storing glucose concentration data of the user;
receiving data from a cloud connected source, the data pertaining to medicaments and/or regimens attempted by a plurality of other users, the plurality of other users determined by having similar demographics to the user;
analyzing the monitored and stored glucose concentration data of the user, wherein the analyzing is based at least in part on the data pertaining to medicaments and/or regimens attempted by the plurality of users;
evaluating the analyzed glucose concentration data of the user against the first regimen; and
displaying an output responsive to the evaluating.
2. The method of claim 1 , the similar demographics including one or more similar demographic parameters selected from the group consisting of: age, ethnicity, weight, BMI, and type of diabetes.
3. The method of claim 1 , wherein the evaluating includes determining either the first medicament or the first regimen to be non-optimal for the user, and further comprising:
determining a second medicament or a second regimen, or both, for the user; and
displaying an output indicating the second medicament, or the second regimen, or both.
4. The method of claim 1 , wherein the regimen includes data about a dosage of a respective medicament and the timing of ingestion of the respective medicament.
5. The method of claim 1 , further comprising monitoring other data about the user, and wherein the analyzing or evaluating steps, or both, are based on the glucose concentration data and the other data.
6. The method of claim 5 , wherein the other data includes activity data.
7. The method of claim 5 , wherein the other data include data about other analytes.
8. The method of claim 5 , wherein the other data include meal data.
9. The method of claim 8 , wherein the meal data is received from:
a social network;
user entry;
a food app; or
photographic data.
10. The method of claim 1 , further comprising determining user compliance with the regimen.
11. The method of claim 1 , further comprising transmitting an indication of the output to a cloud connected entity, along with demographic data about the user.