Third Opinion uses AI to extract and normalize data from electronic medical records, automatically matching patients to complex clinical trial eligibility criteria. The platform provides a secure, real‑time dashboard for sponsors, CROs, and research teams to identify and manage qualified candidates, accelerating recruitment and reducing trial costs.
Funding
Funding not disclosed
Founders
Product
Problem
Recruiting eligible patients for clinical trials is time‑consuming and costly, often relying on manual chart reviews and fragmented outreach methods that lead to unpredictable enrollment rates and delayed study timelines.
Solution
Third Opinion applies artificial intelligence to automatically extract and normalize data from electronic medical records (EMRs) and match it against complex trial eligibility criteria. The platform continuously scans patient populations, identifies those who meet study requirements, and presents qualified candidates to researchers through a secure interface. By delivering a steady, predictable flow of eligible patients, the solution accelerates recruitment, shortens trial duration, and reduces associated costs. Patients benefit from faster access to relevant studies and personalized treatment options, while investigators gain a data‑driven, scalable recruitment pipeline.
Target Audience
Primary customers are clinical trial sponsors, CROs, and academic research teams that need efficient patient recruitment, as well as healthcare providers seeking to connect their patients with appropriate clinical studies.
Features
- AI‑powered parsing of EMR data to capture clinical variables, lab results, and medication histories
- Automated eligibility matching engine that handles multi‑parameter inclusion/exclusion rules
- Real‑time patient eligibility dashboard for researchers with filtering and cohort management tools
- Secure, HIPAA‑compliant data handling and patient consent workflow
- Integration layer that connects to major EMR systems without requiring manual data entry
- Predictive enrollment analytics to forecast patient flow and trial timelines