TrialBridge provides on‑premise medical large language models that run within a hospital’s firewall, enabling secure extraction of insights from unstructured clinical text without transmitting PHI to external clouds. The platform integrates with EHR systems to support use cases such as automated coding audits, documentation improvement, and research data mining while ensuring HIPAA, GDPR, and SOC2 compliance.
Funding
Funding not disclosed
Founders
Product
Problem
Healthcare organizations struggle to leverage unstructured clinical data because sending protected health information (PHI) to public cloud large language models (LLMs) creates privacy, compliance, and regulatory risks under HIPAA, GDPR, and SOC2.
Solution
TrialBridge offers on‑premise medical LLMs that run inside a hospital’s firewall, allowing institutions to extract insights from free‑text clinical notes, pathology reports, and imaging summaries without transmitting data externally. The platform provides a secure, locally hosted AI environment that maintains full data sovereignty while delivering the same natural‑language understanding capabilities as cloud services. By keeping PHI on‑site, hospitals can comply with privacy regulations, reduce legal exposure, and accelerate clinical trial workflows and revenue-cycle analytics. The solution integrates with existing hospital IT stacks and supports use cases such as automated medical coding audits, clinical documentation improvement, and research data mining.
Target Audience
Primary customers are hospital IT departments, clinical research teams, and revenue‑cycle management groups that need to analyze unstructured medical text while maintaining strict data privacy.
Features
- On‑premise deployment of large language models optimized for medical terminology and clinical contexts
- End‑to‑end data residency ensuring PHI never leaves the hospital network, supporting HIPAA, GDPR, and SOC2 compliance
- Integration hooks for electronic health record (EHR) systems and clinical data warehouses
- Interactive coding auditor that analyzes physician notes against ICD‑10 codes to identify missed billing opportunities and compliance risks
- Scalable architecture that can be provisioned on existing hospital servers or dedicated AI hardware