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Learn/Clinical AI in Practice/Clinical Decision Support & Patient AI/EP021

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EP021

13 min

CME Eligible

Innovation

Episode 21/Innovation/Premium/ 13 min

Clinical Trial Matching with AI: Connecting Patients to Research

AI tools can now match patients to eligible clinical trials in seconds. We review the platforms, the accuracy, and how to integrate trial matching into your practice workflow.

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Dr. Sajad Zalzala

Physician & Technologist

Isam Waqar

Product & Strategy

At a Glance

Key Takeaways

AI trial matching platforms (Deep 6 AI, TrialJectory, Tempus) can screen a patient's chart against thousands of active trials in under 30 seconds
Accuracy depends heavily on data quality — structured EHR data produces better matches than unstructured notes
The best platforms extract eligibility criteria from clinicaltrials.gov and map them against patient demographics, diagnoses, labs, and medications
Integration matters: tools that work inside your EHR workflow get used; standalone portals get ignored
Revenue opportunity: some trial sponsors pay referral fees ($500-2,000 per enrolled patient) that can offset the cost of the matching platform
Patient conversation: frame trial matching as 'checking if there are any research opportunities that fit your situation' rather than 'I'm out of options'
Compliance: informed consent for trial participation is separate from AI tool consent — don't conflate the two

Show Notes

Only 5% of eligible patients participate in clinical trials, largely because matching is manual and slow. AI is changing this — but the tools vary significantly in approach and accuracy.

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