AI platform that matches patients to eligible clinical trials by analyzing medical records against trial protocols in real-time
TAM
$640M
Search Volume
2,200/mo
Reddit Mentions
280/mo
YoY Growth
+24.8%
12-month trend of search volume and Reddit mentions
Only 5% of adult cancer patients participate in clinical trials, despite 70% expressing willingness. Physicians lack time to review 400,000+ active trials against each patient's eligibility criteria (30+ criteria per trial). Manual screening takes 2 hours per patient per trial. 85% of trials fail to enroll on time. Rural and minority patients are systematically underrepresented.
An AI platform that integrates with hospital EHR systems (Epic, Cerner, Meditech) to continuously analyze patient records against trial eligibility criteria using clinical NLP. Alerts treating physicians with pre-screened eligibility summaries and one-click referral workflows. Patient-facing portal for self-screening. Diversity analytics ensure representative enrollment. HIPAA-compliant, IRB-approved architecture.
The AI clinical trial patient matching market was valued at $640M in 2024, growing at 24.8% CAGR toward $2.4B by 2030. 80% of trials fail enrollment deadlines, adding $600K-$8M per month of delay. Deep 6 AI (acquired by Tempus AI, $6.1B company) uses NLP on unstructured records. Antidote ($28.9M raised, Merck-backed) connects patients via digital channels. TrialSpark ($142M raised) runs its own trial sites. The key challenge is EHR integration (Epic, Cerner) and IRB trust, but unit economics are strong ($1K-5K per enrolled patient).
Weakness: Now part of Tempus; may deprioritize standalone trial matching as Tempus focuses on genomics
Weakness: Patient-facing digital recruitment only; lacks EHR integration for physician-side matching at point of care
Weakness: End-to-end trial operator model (runs own sites); competes with customers rather than serving them
Weakness: Enterprise clinical data platform; patient matching is a small feature in a massive, expensive suite
Partner with 3-5 academic medical centers for pilot deployments and clinical validation studies
Direct sales to top-20 pharma company clinical operations teams managing largest trial portfolios
Integration with Epic's App Orchard marketplace for distribution to 250+ health systems
Patient advocacy group partnerships (American Cancer Society, NAMI) for patient-side awareness
EHR integration with Epic and Cerner requires extensive certification, hospital IT approval, and 6-12 month implementation cycles
HIPAA compliance and IRB approval processes add regulatory overhead and limit deployment speed
Tempus ($6.1B) acquiring Deep 6 AI signals intent to dominate AI-powered clinical trial operations end-to-end
Pharma companies are conservative buyers: switching from established CRO relationships requires multi-year trust building
Strong Opportunity
out of 10
Pharmaceutical companies and CROs managing clinical trials, academic medical centers with research programs, community oncology practices, patient advocacy organizations