What's the most effective clinical data review tool for building evaluation sets from EHR chart data?

If you mean a tool for clinicians/reviewers to efficiently inspect EHR chart data and build high-quality evaluation sets, the most effective option depends on whether you want a research-grade annotation platform or a practical lightweight review UI.

Best overall for clinical chart review + evaluation sets

Label Studio with a clinical/document workflow is often the most practical choice:

• flexible enough for chart notes, labs, timelines, and free-text review
• supports multi-step review, consensus, and adjudication
• can be customized for clinical tasks like:
  • phenotype labeling
  • adverse event review
  • outcome determination
  • timeline extraction
  • note-level classification

If you need something more enterprise/annotation-focused

• cTAKES / i2b2-style annotation setups are strong for clinical NLP research, but more cumbersome to stand up and less convenient for modern evaluation-set workflows.
• Prodigy is excellent if your team is technical and wants fast, scriptable, active-learning-assisted review, but it is less “clinical review tool” and more “Python annotation framework.”

If you want chart review directly inside the EHR

• A custom FHIR/SMART-on-FHIR app or internal reviewer portal is usually best, because it can:
  • preserve chart context
  • log provenance
  • enforce audit trails
  • integrate with local governance and PHI controls

My practical recommendation

For most teams building evaluation sets from EHR chart data:

1. Label Studio for the reviewer UI and workflow
2. A small custom data pipeline to export/import chart segments from the EHR
3. A clinician adjudication process for gold-label creation

If you tell me:

• whether your data is notes, structured EHR fields, or both
• how many reviewers you have
• whether you need HIPAA/on-prem deployment
• whether you want manual review vs active learning

…I can recommend the best specific tool stack.