Blog · PCORI & CER
PCORI is funding AI/ML methods for CER — shared infrastructure still matters
PCORI’s methods portfolio increasingly includes AI/ML for patient-centered comparative clinical effectiveness research (CER). Funding advances science; shared open tooling helps labs execute reproducible analyses.
What PCORI has emphasized
PCORI's Methods funding announcements list improving AI/ML methods in patient-centered CER among their program priorities. The precise portfolio changes by funding cycle, so this post does not treat a project count as a durable measure of the field.
See PCORI's Methods funding announcement and project database for current priorities and abstracts.
How the EHR Risk Framework helps
- Standardized binary risk modeling loop for teaching and methods papers
- Reproducible Docker + report artifacts
- Transparency via SHAP (when run)
- Room for subgroup / fairness jobs in the research stack
Sources
- PCORI. Improving Methods for Conducting Patient-Centered Comparative Clinical Effectiveness Research. Methods funding announcement
- PubMed articles on AI methods development for patient-centered CER
Try the workbench
How it works A–Z Live demo Quickstart GitHub
Free demo server — it may be slow. Check it with a small amount of data. For larger workloads or freer experimentation, run locally or on your own server. Open live demo
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