The AI tool quickly transforms unstructured medical notes into structured actionable insights for medical research efficiency.
-- At the AMIA 2024 Annual Symposium in San Francisco, where the Chart Abstraction tool was unveiled, Dr. Dan Fabbri, the founder of Brim Analytics, said, “Our new chart abstraction AI tool is a game changer for medical researchers – a tool that will continue to redefine chart review, allowing researchers to focus more on breakthrough insights and less on repetitive, monotonous tasks. We are on a mission to accelerate clinical research.”
Brim Analytics is thrilled to announce the launch of its chart abstraction tool that is accelerating medical research with AI. The AI-guided chart abstraction tool powered by Large Language Models (LLMs) supercharges medical research efficiency by transforming unstructured medical notes into structured actionable data. This innovative solution marks a significant advancement in clinical data management for researchers.
Dr. Fabbri is an Associate Professor in Vanderbilt University’s Biomedical Informatics and Computer Science departments. He also founded Maize Analytics, a health IT company that provides machine learning tools for hospitals to protect patient data.
Brim Analytics leverages its founder’s extensive experience in health IT and biomedical informatics to create a platform that allows medical researchers and healthcare organizations to extract insights from records and notes 80% faster with similar accuracy to traditional methods. Brim Analytics’ platform builds on LLMs with proprietary tools to automate chart abstraction and enable reviewers to provide feedback and improve results.
The AI-guided chart abstraction tool offers seamless project setup with data import from CSVs and REDCap and provides feedback on how to improve protocol definitions for higher data accuracy. Brim then drafts an abstraction for each variable based on evidence from the medical note, increasing reviewer efficiency by focusing their time on editing rather than searching. It is also built to support HIPAA-compliant environments. These features help manage the input and output of large data sets, prompt engineering, and traceability, transforming the data abstraction process into a collaborative review.
Reflecting on the journey and significance of launching this chart abstraction tool, Dr. Fabbri reiterated his and Brim Analytics’ commitment to leading the forefront of innovation in medical research with AI. “We are proud to be leading the charge in integrating AI into chart curation for research and clinical trial enrollment.”
More information and demo requests for Brim Analytics’ AI-powered chart abstraction tool are now available at www.brimanalytics.com.
Contact Info:
Name: Betina Evancha
Email: Send Email
Organization: Brim Analytics
Website: http://www.brimanalytics.com
Release ID: 89148682
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