Brim Analytics prioritizes data security with a rigorous path to SOC 2 compliance, ensuring trust, transparency, and protection for healthcare data.
June 20, 2025
Manual and NLP-based chart abstraction methods are falling behind. Learn why AI-driven solutions like Brim offer greater speed, accuracy, and scalability.
Brim speeds up enrollment for fine-grained clinical trials with AI-driven chart abstraction, enabling faster, more targeted patient identification and recruitment.
Brim’s Modular AI Abstraction streamlines medical chart data extraction with flexible, scalable solutions that enhance accuracy and improve clinical workflows.
How Brim's API enables digital transformation by seamlessly integrating with your tech stack and clinical notes to deliver data-driven insights.
Explore Brim’s May 2025 Feature Release—new tools that simplify complex retail data, enhance insights, and empower smarter, faster decision-making.
Brim featured in a Modern Healthcare discussion of how Advocate, Hartford Health, and other health systems are managing token costs in the age of AI.
Brim Analytics launches Brim Field Notes, a live conversation series featuring health system teams putting AI chart abstraction to work, on October 23
Following a successful pilot, BRIM is now available as an AI-powered chart abstraction service for the UCSF research community.
BRIM is now available at researchers at UCSF to speed chart abstraction with AI.
Investigators at Johns Hopkins independently evaluated Brim against an established ontology-driven NLP system on 364 unmodified pathology reports spanning pancreatic and breast cancer. Brim averaged 96.7% accuracy across seven cancer registry variables in the pancreatic cohort and 93.7% on breast cancer with no disease-specific tuning, holding up on narrative free-text reports nearly as well as on synoptic ones. The authors position automated extraction as a first-pass layer that pre-populates registry fields and routes ambiguous cases to certified registrars.
Brim Analytics is participating in ARPA-H’s Pediatric Cancer eXpansion (PCX), contributing AI-guided chart abstraction technology to help scale interoperable, research-ready pediatric cancer data infrastructure nationwide.
Brim Analytics appointed Gurmeet Sran, MD, MS, as Physician Advisor to help guide product roadmap development and healthcare market strategy, drawing on his experience as a practicing physician and health system data leader.
Article in the Journal of Medical Systems
An AMIA poster discussing Brim created by our partners at CHOP
The grant extension will expand applications in research, clinical trials, registries and national collaborations.
Brim Analytics announces the launch of its AI-guided chart abstraction tool to streamline medical research.
Thanks! Our team will reach out by email.
Thanks! Our team will reach out by email. You can also schedule a demo below.
Schedule a demo →
.avif)
