Unlock your Medical Research with AI-Guided Chart Abstraction

The Problem:
‍Structured Data is Limited, and Chart Abstraction is Slow

Sometimes the data you need for your hypothesis is already in structured format, but often it's not.

Then researchers and study staff spend hours poring over patient charts looking for information and entering it into a form. That means retrospective studies take months and are often limited by the data you can get, not the data you want.

Scaling your study means scaling your team or accepting compromises.

The Solution:
‍AI-Guided Chart Abstraction,
Built for Research and Beyond

Brim turns unstructured clinical notes into structured data that matches your protocol.

Flexible to your study: Brim can import your existing protocol from CSV or REDCap, or build variables from natural language descriptions. Easily abstract simple fields or complex hierarchies of variables, all at scale.
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Traceable: See the evidence behind every data point for auditing and accuracy. Brim links every value to specific passages in the chart.
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Collaborative: Tackle your data as a team with project-level permissions, collaborative feedback on values, and easy variable sharing across sites.
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Secure: Brim runs inside your institution’s infrastructure and meets SOC 2 Type II and HIPAA compliance requirements.

Powering Medical Research with Chart Abstraction, including

Genetic Testing Data Extraction

Pull family history, test results, and clinician interpretations into structured tables for downstream analysis.

Source of Orthopedic Injury

Understand longitudinal causes across notes - like whether this injury originated from playing pickleball.

Multi-Site Registries

Achieve consistent data submission across sites while reducing the hours required to find and code the data.

How Brim Compares

How Brim Compares (Scoped)

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

An academic research group needed to extract clinical variables from a large set of de-identified patient records for a retrospective study on drug repurposing. 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.

Less time reading charts,
more time making breakthroughs.

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