Accelerate Clinical Trials with AI-Powered Precision Matching
Leveraging advanced AI and FHIR interoperability to connect the right patients to the right trials, faster.
Request DemoThe 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. Relying on manual processes to extract and interpret this data creates significant hurdles, slowing down research and impacting outcomes.
Slow & Error-prone
Manual extraction hinders efficiency and accuracy.
The Challenge
Manual data extraction from medical records is time-consuming and prone to human error. This leads to inconsistent data quality and missed opportunities for patient matching.
Startup Delays
Manual steps add weeks to trial initiation.
The Impact
The manual review process can delay trial initiation by 4-6 weeks on average. This significantly impacts time-to-market for critical treatments and increases overall development costs.
Hinders Matching
Complex data blocks automated patient screening.
The Bottleneck
Unstructured clinical data makes it difficult to match patients to trials at scale. Without AI assistance, matching becomes subjective and misses potential candidates who could benefit from treatment.
Limits Data Use
Untapped secondary data remains locked in text.
The Opportunity
Valuable insights from clinical notes, discharge summaries, and other unstructured data sources remain untapped. This data could provide deeper insights for trial design and patient selection.
This fundamental reliance on outdated, manual processes creates a critical bottleneck across the clinical research landscape, hindering efficiency and limiting potential.
From Bottleneck to Breakthrough: Solving Trial Recruitment with TrialBridge
Slow patient recruitment, driven by inaccessible unstructured data and manual processes, delays critical research and inflates costs. Identifying the right patients quickly and accurately remains a core industry challenge.
TrialBridge provides the solution: an intelligent platform using advanced AI (LLMs & GNNs) and native FHIR interoperability to automate and enhance patient-trial matching. We transform fragmented data into actionable insights for precise, efficient recruitment.
How TrialBridge Delivers Value:
Accelerated Recruitment
By automating the extraction of structured data from clinical notes and EMRs, TrialBridge dramatically reduces the time spent on manual chart review. Our AI identifies potential trial candidates with greater speed and accuracy than traditional methods.
Superior Matching Accuracy
Our multi-modal AI approach delivers more precise patient-trial matching by understanding complex eligibility criteria and patient characteristics. This leads to fewer screening failures, saving valuable time and resources while improving the patient experience.
Optimized Cohorts for Stronger Outcomes
Better matching means better cohorts. By ensuring enrolled patients closely align with the protocol's intent, TrialBridge contributes to more homogenous study groups, potentially leading to clearer results, more reliable data, and a stronger foundation for evaluating treatment efficacy.
Built for Scale and Integration
Leveraging a modern cloud architecture and native FHIR capabilities, TrialBridge easily handles growing data volumes. Our commitment to interoperability ensures smooth data flow between your existing systems (like EMRs, CTMS) and our platform, creating a connected research ecosystem.
Our Multi-Modal AI & FHIR Native Core
Fine-Tuned LLMs
Semantic understanding for precise data extraction from unstructured medical texts.
Graph Neural Networks
Capture complex relationships between medical concepts for deeper insights and better matching.
FHIR Interoperability
Seamless data flow with healthcare standards ensuring compatibility with existing systems.
Quantitative Scoring
Explainable Trial Fitment Scores for ranking and prioritizing potential trial participants.
Security & Compliance
HIPAA-compliant with end-to-end encryption to protect sensitive patient data.
Modular Architecture
Customizable components that adapt to your specific workflow and integration needs.
These components work synergistically, creating a powerful engine that delivers more accurate, explainable, and interoperable results than siloed approaches.
Driven by Experts
Dr. Julia Hitzbleck
CEO, Co-founder
Expert in clinical research and AI applications in healthcare.
Krishnendu Dasgupta
CTO, Co-founder
Specialist in scalable AI systems and interoperability.
See TrialBridge in Action: Request Your Demo
Ready to accelerate your clinical trial recruitment? Schedule a personalized demo to see how TrialBridge's AI platform streamlines patient matching using your specific criteria or therapeutic area focus.
In your demo, you will:
Explore key features in a live, interactive walkthrough.
See how TrialBridge tackles your specific recruitment challenges.
Understand the potential impact on your timelines and costs.
Get answers directly from our clinical AI specialists.
To schedule your personalized demo, please contact us at julia@trialbridge.org.