Use Case Work Groups
Description
This use case focuses on an AI-supported solution that can automatically extract and structure eligibility criteria from oncology trial protocols, interpret unstructured clinical notes and structured patient data from EHRs, and determine patient-trial compatibility.
Timeline
Q3 2025 (anticipated start)
Goals
Critical best practice guidance and associated tools & resources
Methods, metrics, benchmarks, and open-source tooling to objectively evaluate responsible use of a clinical trials patient enrollment solution
Output
Best Practice Guidance
link to guidance documentation once availableTesting & Evaluation Framework
link to GitHub once available
Work Group Leads
Name | Organization |
|---|---|
Elizabeth Johnson | Montana State University |
Jiahui Ma | Montana State University |
Celena Wheeler | Oracle |
Navin Maganti | Biotale |
Sebastien Rhodes | Triomics |
Work Group Members
TBD - in-development
