cqframework / cqframework/clinical-reasoning
Allow parallel evaluation for big patient lists
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- Dominant language
- Java
- Stars
- 49
- Forks
- 43
- Avg merge
- 2d 19h
- Merged PRs (30d)
- 13
Description
Here, we are running a sequential list over our list of patients. I think we should have some setting to allow parallelising each patient's measure calculation, moreover this parallelisation factor should be configurable.
In cases where we want to evaluate measures over 100,000+ patients, this would help quite a bit.
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Research direction
Start in cqf-fhir-cr/src/main/java/org/opencds/cqf/fhir/cr/measure/common/MeasureEvaluator.java around line 300, where patient measures are evaluated sequentially. Determine how a configurable parallelization setting should apply to each patient's calculation, then verify that large patient lists can be evaluated concurrently without changing results.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- java
- Domain
- backend, performance
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 48/100