In modern trials, eligibility criteria can be highly specific: biopsy-confirmed subtypes, failed prior treatments, recent imaging findings, molecular markers, and more. That information is rarely in a structured field; instead it's buried in PDFs, radiology reports, or pathology notes.
By the time you identify a patient, the trial has started, the patient has progressed, or someone else has recruited them.
The result? Missed opportunities and stalled enrollment.
Match More Patients to Clinical Trials with Brim
The Problem:
Low Clinical Trial Enrollment, High Complexity
The Solution:
AI-Guided Chart Abstraction for
Fast Fine-Grained Clinical Trial Matching
Brim turns clinical notes into structured data aligned to your protocol’s inclusion and exclusion criteria, at scale.
Handle complex eligibility: Whether it's “recurrence after platinum therapy” or “biopsy confirming adenocarcinoma within the past year,” Brim can find it in the notes. Build hierarchies of variables to reach any complexity you need.
Focus your review: Surface patients who are likely eligible, and review only the fields that need human confirmation.
Accelerate recruitment: Identify potential matches faster and earlier, when timing matters most.
Adapt to any trial: Brim can be configured for oncology, neurology, rare disease, and more, supporting single-site or multi-site matching.
Secure and compliant: Brim runs inside your institution, meets SOC 2 Type II and HIPAA requirements, and integrates with your workflow with an internal RESTful API.
Handle complex eligibility: Whether it's “recurrence after platinum therapy” or “biopsy confirming adenocarcinoma within the past year,” Brim can find it in the notes. Build hierarchies of variables to reach any complexity you need.
Focus your review: Surface patients who are likely eligible, and review only the fields that need human confirmation.
Accelerate recruitment: Identify potential matches faster and earlier, when timing matters most.
Adapt to any trial: Brim can be configured for oncology, neurology, rare disease, and more, supporting single-site or multi-site matching.
Secure and compliant: Brim runs inside your institution, meets SOC 2 Type II and HIPAA requirements, and integrates with your workflow with an internal RESTful API.
Matching Patients to Trials, including
Precision Oncology Trials
Match patients using complex molecular profiles and prior therapy details.
Rare Disease Studies
Find patients based on nuanced phenotypic and diagnostic history buried in notes.
Multi-Site Matching
Deploy your abstraction logic across multiple institutions with study-specific access and protocols.
How Brim Compares
Solution | Accuracy | Speed | Domain Versatility | Security |
---|---|---|---|---|
Brim | Accurate | Fast | Versatile | You control your data |
Manual Review | Accurate | Slow | Versatile | You control your data |
Other tools | Accurate | Varies | A few specialities | Send your data out |
Retrospective Research Case Study
Drug Repurposing: 75% Faster Chart Abstraction that Catches More Cases
A U.S.-based academic research group conducting retrospective studies on drug repurposing needed to extract clinical variables from a large set of de-identified patient records. Brim enabled them to abstract and audit every value 75% faster, while finding discrepancies in the human-coded comparison data set.
Learn more on the Brim blog.
Learn more on the Brim blog.
Less time reading charts,
more time making breakthroughs.
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