Model prescription fill, dose changes, and medication adherence over time #96
Description
Problem Statement
Researchers often want to study changes over time and developers need to account for changes in their apps to allow users to change information or have different options based on new information. And clinicians need fill and adherence information to make treatment decisions.
The MDT (and Synthea) currently model one prescription that does not end and has 100% adherence. In order to simulate realistic medication data, these dynamics of changes over time and medication adherence patterns need to be accounted for.
Criteria for Success
- Adjust Synthea's medication orders to have breaks in start/stop dates (to simulate adherence patterns)
- Add logic and a process for patients to transition between doses over time
Additional Information
- can use MEPS data (esp across years, after this ticket is complete)