SynapseCare provides an AI‑driven platform that matches patients to clinical trials by analyzing complex eligibility criteria against hospital electronic health records. The service integrates directly with a hospital’s existing API, enabling secure, real‑time access to patient data without disrupting workflows. By automating patient identification, it improves recruitment rates and helps trials reach enrollment targets more efficiently.
Funding
Funding not disclosed
Founders
Product
Problem
Clinical trial recruitment often suffers from low enrollment rates because identifying eligible patients from hospital records is time‑consuming and error‑prone, especially when eligibility criteria are complex.
Solution
SynapseCare offers an AI‑driven platform that automatically parses detailed trial eligibility rules and matches them against patient data accessed through secure hospital APIs. The system operates in real time, continuously scanning updated electronic health records to surface qualified candidates for investigators. By integrating directly with existing hospital information systems, it eliminates manual data extraction and reduces the latency between patient identification and outreach. The resulting precision in patient matching improves recruitment efficiency and increases the likelihood of trial completion.
Target Audience
Primary users are clinical trial sponsors, CROs, and research teams within hospitals and academic medical centers that need to accelerate patient enrollment for their studies.
Features
- Direct, standards‑based integration with hospital APIs for secure, automated access to electronic health records
- Advanced natural‑language processing and machine‑learning models that interpret complex eligibility criteria
- Real‑time candidate scoring and ranking to prioritize the most suitable patients
- Audit‑ready logs and compliance controls to ensure data privacy and regulatory adherence
- Dashboard for researchers to review matched patients, filter results, and export data for outreach