Lesson 626 of 2244
AI for Clinical Trial Recruitment: Patient Matching at Scale
Trials fail to recruit. AI matching systems can scan EHRs against eligibility criteria across an entire health system — finding candidates that would never have been identified manually.
Adults & Professionals · AI in Healthcare · ~24 min read
The premise
Manual trial recruitment misses eligible patients; AI EHR scanning surfaces candidates so research coordinators focus on consent and enrollment.
What AI does well here
- Index EHR data against trial eligibility criteria (inclusion + exclusion + protocol-specific)
- Surface partial-match candidates so research coordinators can verify what the AI couldn't
- Generate clinician-friendly summaries explaining why the patient was matched
- Track conversion (matched → contacted → consented → enrolled) to measure system value
What AI cannot do
- Substitute for the formal eligibility verification by the trial team
- Replace informed consent (a clinician-led conversation)
- Catch every nuance of complex eligibility criteria (especially imaging or pathology criteria)
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