Leveraging EA8191 to Assess AI-Augmented EHR Abstraction (NCT06561230)
Leveraging a Penn-based Cancer Trial (EA8191) to Assess the Prospective Performance of Artificial Intelligence Augmented Electronic Health Record (EHR) Data Abstraction for Clinical Trial Patient Screening and Selection
🩺 Plain-English Summary (8th-Grade Level)
The goal of this prospective study is to assess the performance of AI (artificial intelligence) augmentation (compared against historical controls) to identify oncology patients who meet inclusion criteria for a clinical trial. The study staff will leverage a natural language processing (NLP)-based AI algorithm that rank-orders patients most likely to meet inclusion criteria for a trial. We hypothesize that this collaborative Human+AI workflow can improve the efficiency, accuracy, and diversity of trial prescreening.
Who can join: Review the eligibility criteria below.
Location: University of Pennsylvania — Philadelphia, Pennsylvania
Age range: 18 Years
🧪 Interventions in This Study
- Chart review (OTHER)
📋 "Do I Qualify?" — 1-Minute Self Screener
Instant ChecklistFull eligibility criteria are available on the official NIH protocol. View the criteria ↗
📍 All Participating Trial Locations (1 Sites)
- University of Pennsylvania — Philadelphia, Pennsylvania
💰 Cost, Insurance & Patient Rights
- 100% Free Items: The investigational treatment and protocol-required procedures are supplied at zero cost by the sponsor.
- Routine Patient Care: Under federal law (ACA § 2709) and many state statutes, routine care costs are covered during participation.
- Voluntary Participation: You may withdraw at any time without affecting your standard medical care.
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💡 How to Participate
- Check the checklist above to see if you may qualify.
- Review the official NIH record below to find the coordinating site.
- Ask about the visit schedule, what is covered at no cost, and any travel support.
- Confirm with your own doctor before making a decision.