TrialBridge

For Clinical Trial Sponsors & CROs

Connect the Right Patients to the Right Trials, Faster

TrialBridge uses AI and native FHIR interoperability to turn fragmented medical records into structured, coded, matchable data — so eligible patients aren't missed.

Built for healthcare-grade data: HIPAA-aligned Native FHIR Privacy-first / zero data egress option SNOMED CT · ICD-10 · LOINC · RxNorm

The Problem

The Bottleneck in Clinical Trials

Critical medical data — essential for finding the right patients — is often locked away in unstructured text like clinical notes, pathology reports, and imaging summaries. Manual extraction and interpretation slow research, add cost, and let eligible patients slip through.

Slow & Error-prone

Manual chart review is time-consuming and inconsistent, leading to variable data quality and missed matches.

Startup Delays

Manual screening steps add weeks to trial initiation, pushing back time-to-market and inflating cost.

Hinders Matching

Unstructured clinical data blocks automated screening at scale, so matching stays subjective and incomplete.

Limits Data Use

Valuable secondary insights stay locked in free text — untapped for trial design and patient selection.

The result is a critical bottleneck across the research landscape — one that manual processes can't clear.

How It Works

From Records to Ranked Matches in Three Steps

A single pipeline that connects your data, codes it, and returns prioritized candidates.

1

Connect

Ingest structured and unstructured records from your EMR, CTMS, and documents — with privacy-first, zero-egress deployment options.

2

Code & Structure

AI extracts and codes the data into every relevant ontology (SNOMED CT, ICD-10, LOINC, RxNorm) as native FHIR, building longitudinal patient records.

3

Match & Rank

Patients are matched against trial criteria and ranked by an explainable Trial Fitment Score, so your team reviews the best candidates first.

The Solution

From Bottleneck to Breakthrough

TrialBridge automates and enhances patient–trial matching with advanced AI (LLMs & GNNs) and native FHIR interoperability — turning fragmented data into precise, efficient recruitment.

How TrialBridge Delivers Value

Accelerated Recruitment

Faster patient identification

By automating extraction of structured data from clinical notes and EMRs, TrialBridge cuts the time spent on manual chart review and surfaces candidates faster than manual methods.

Superior Matching Accuracy

Fewer screening failures

A multi-modal AI approach interprets complex eligibility criteria and patient characteristics for more precise matching — reducing screening failures and improving the patient experience.

Optimized Cohorts

Stronger statistical power

Better matching means better cohorts. Aligning enrolled patients closely with the protocol's intent supports more homogenous study groups and a stronger foundation for evaluating efficacy.

Built for Scale & Integration

Native FHIR compatibility

A modern cloud architecture and native FHIR capabilities handle growing data volumes and keep data flowing between your existing systems (EMRs, CTMS) and TrialBridge.

The Technology

Our Multi-Modal AI & FHIR-Native Core

Six capabilities working together to deliver accurate, explainable, and interoperable matches.

Fine-Tuned LLMs

Semantic understanding for precise data extraction from unstructured medical texts.

Graph Neural Networks

Capture complex relationships between medical concepts for deeper insight and better matching.

Multi-Ontology Coding

Every record coded into all relevant ontologies — SNOMED CT, ICD-10, LOINC, RxNorm — as native FHIR.

Explainable Fitment Scores

Transparent, quantitative Trial Fitment Scores for ranking and prioritizing potential participants.

Privacy & Security

HIPAA-aligned with end-to-end encryption and a zero-data-egress deployment option — your data never has to leave your environment.

Modular Architecture

Customizable components that adapt to your specific workflow and integration needs.

These components work together, delivering more accurate, explainable, and interoperable results than siloed approaches.

Our Team

Driven by Experts

A founding team spanning clinical research, healthcare AI, and interoperable systems.

Dr. Julia Hitzbleck

Dr. Julia Hitzbleck

CEO, Co-founder

Expert in clinical research and AI applications in healthcare.

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Krishnendu Dasgupta

Krishnendu Dasgupta

CTO, Co-founder

Specialist in scalable AI systems and interoperability.

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Get Started

See TrialBridge in Action

Ready to accelerate your trial recruitment? Request a personalized demo to see how TrialBridge streamlines patient matching for your therapeutic area. We'll respond within two business days.

Prefer email? Reach us directly at info@trialbridge.org.