Avia Logo

Overview


Brim Feature Highlights

Privacy and Security First

Minimize your data risk. Brim is contained to your servers and AI endpoint, with no PHI sent out.


Flexible Abstraction

Modify your protocol in one place, and see results everywhere instantly.

Select which hospital or health system you work at and see a personalized compatibility level.
contact person
Betina Evancha
Chief Product Officer

Avia Summary

o
It has 3 verified clients.
o
Brim integrates with major EMRs such as Epic, Cerner, and Meditech.
o
Some other resource(s) that may be helpful in learning about Brim include: A buyer’s guide to solution interoperability and Top Interoperability Companies Report
DESCRIPTION

Brim Analytics is driving to the next cure, faster with a democratized AI-guided chart abstraction system. Chart abstraction is the process of converting unstructured clinical notes into structured data, an essential task across healthcare, including clinical trial matching, academic research, registries for cancer and heart disease, and many more. Brim is an AI-guided tool for chart abstraction that prioritizes privacy and security, creates traceability of data, and is dramatically faster than human curators alone.

Read more
Product capabilities

Adaptability

Brim learns from the actions taken on previous variable values to improve abstraction for all future variables - eg in a clinical workflow use case, the AI would adapt to implement any changes the clinician makes.

AVIA GUIDE
What is adaptability?
Evolves and adjusts in response to changes in the environment or user behavior Continuously learns from new data and experiences to improve performance Flexibly accommodates different clinical scenarios and workflows Example: An AI-driven scheduling and staffing system that sends certain clinicians based on changing patient acuity levels and staff availability.
EHR integration

Acute care EMR, Ambulatory EMR, Ancillary EMR
None provided
Epic, Cerner, Meditech, Allscripts, NextGen, athena, GE, eClinicalWorks, McKesson, Other, Allscripts/Eclipsys, Athenahealth, Azalea Health/Prognosis, CPSI, Evident, Healthland, MEDHOST, MedWorx, QuadraMed, Self-developed, Point Click Care
None provided
Use cases and differentiators

Brim is an abstraction tool to extract and calculate fields from unstructured clinical notes. Use cases include:

  • Clinical trial pre-screening
  • Streamlining clinical workflows
  • Abstracting data for registry submission
  • Retrospective medical research

Brim is a post-clinical tool, so it can be used for the same applications in pediatrics.

  • Abstractors
  • Researchers
  • Registrars

Brim enables fast and flexible abstraction of structured data from unstructured notes.

  • Fast Abstraction. AI-guided generation saves 80% of the time relative to manual abstraction with comparable accuracy.
  • Scalable. Abstract data at scale, rather than note-by-note.
  • Flexible. Easily iterate on the fields you derive as you learn or your process evolves.
  • EHR-agnostic. Import and export via a standard format.
  • Privacy and Security first. Brim is fully secure, and we do not train on your data. You can implement in your institution's cloud environment, or in a single-tenant deployment. Leverage your institution's LLM endpoint. Brim supports Open AI, Azure Open AI, Bedrock, and other LLMs to get the newest foundational models without adding another vendor.
  • Built for researchers and abstractors. Purpose-built interface for abstraction helps humans move faster and improves the accuracy of abstracted data.
  • Domain flexibility. Brim has been used for projects in cancer research, clinical trials, orthopedic injuries, and many more. Brim optimizes variables for your project based on your feedback, improving abstraction in real time.
Company information

Media


Images

edit-media
Evidence from Raw Notes
edit-media
AI-Generated Structured Fields
edit-media
Brim in Action
edit-media
Variable Summaries
Videos

Why Brim Analytics
edit-media
Downloads

media thumbnail
https://www.brimanalytics.com/post/faster-enrollment-for-fine-grained-clinical-trials
media thumbnail
https://www.brimanalytics.com/post/bring-your-own-llm-how-to-empower-healthcare-organizations
media thumbnail
https://www.brimanalytics.com/post/the-next-cure-faster-why-we-built-brim-analytics

Reviews


Filter reviews


Overall Score
5.0

3 reviews


5.0

Features

5.0

Ease of use

5.0

Customer Support

5.0

EHR Integrations

Sort by:
Most Recent
Sort by:
Most Recent
Oldest
Most Helpful

Filter reviews


Reviewer’s Rating
5
4
3
2
1

Reviewer’s Role
  • End user
  • Project manager
  • IT / Technical support
  • Executive sponsor
  • Internal consultant
  • Other

Reviewer’s Org Size
  • XL ($5B+ NPR)
  • L ($3-5B NPR)
  • M ($1-3B NPR)
  • S ($0.2-1B NPR)
  • XS (< $0.2B NPR)

Reviewer’s Org EMR compatibility

Reviewer’s Org Type
  • AMC
  • Pediatric Facilities
  • ACO
  • Rural Presence

May 8, 2025

verified
new review

May 8, 2025

It reduced time to review mental health positive cases by 80%

It reduced time to review mental health positive cases by 80%

View more


user image

Colin Walsh

Associate Professor, End user working with Brim at Vanderbilt University Medical Center
Review Source
:
brimanalytics.com/
Helpful(0)

May 5, 2025

verified
new review

May 5, 2025

Revolutionized our chart review

This has revolutionized our chart review, and I cannot adequately express my gratitude!

View more


user image

Adrienne Marler

Fellow, End user working with Brim at Vanderbilt University Medical Center
Review Source
:
brimanalytics.com
Helpful(0)

May 2, 2025

verified
new review

May 2, 2025

I love it! It is like a game!

View more


user image

Christine Micheel

Research Assistant Professor of Medicine, undefined working with Brim at Vanderbilt University Medical Center
Helpful(0)

Clients


Filter clients


Type
  • Partner

  • Vendor

  • Health System

  • Other

Explore Related Resources
back to top