Brim provides an AI‑driven chart abstraction platform that converts unstructured medical records—such as clinical notes and PDFs—into structured, protocol‑aligned data. The system extracts variables, links each value to its source passage for auditability, and supports collaborative review, on‑premise deployment, and integration via APIs, helping researchers, trial teams, and health systems accelerate studies and patient care while maintaining compliance.
Funding
Funding not disclosed
Founders
Product
Problem
Researchers, trial teams, and clinical staff must manually review extensive unstructured medical records to extract specific data points, a process that is time‑consuming, error‑prone, and limits the scale and speed of studies and care pathways.
Solution
Brim provides an AI‑driven chart abstraction platform that converts free‑text clinical notes, PDFs, and other unstructured sources into structured data aligned with user‑defined protocols. The system can import study or workflow specifications from CSV, REDCap, or natural‑language descriptions, then automatically extracts variables, links each value to its source passage for auditability, and presents results for collaborative review. Brim runs within the institution’s own infrastructure, meeting SOC 2 Type II and HIPAA requirements, and offers RESTful APIs for integration with existing clinical and research workflows. By delivering fast, accurate, and traceable data extraction, Brim accelerates retrospective research, clinical trial enrollment, and routine care processes while reducing manual effort.
Target Audience
Primary users are academic and industry medical researchers, clinical trial coordinators, and health system care teams that need rapid, reliable extraction of structured data from electronic health records for studies, patient matching, and operational decision‑making.
Features
- AI‑powered extraction of complex clinical concepts (e.g., molecular markers, procedural histories) from diverse note types
- Flexible protocol ingestion from CSV, REDCap, or plain‑language definitions, supporting hierarchical variable structures
- Evidence linking that displays the exact chart excerpt supporting each abstracted value for audit and compliance
- Collaborative project workspace with role‑based permissions, feedback loops, and cross‑site variable sharing
- Secure on‑premise deployment complying with SOC 2 Type II and HIPAA standards; data never leaves the institution
- High‑throughput processing via scalable cloud‑native architecture with fast turnaround compared to manual review
- Interoperable data exchange via CSV import/export, REDCap integration, and a full RESTful API for workflow automation