Resources

Chart abstraction is happening across your institution, but without a centralized strategy, it creates fragmentation, duplicated effort, and unnecessary risk. In this post, we argue that AI-powered chart curation should be treated as core infrastructure, not a collection of department-level pilots, and explore what it takes to build a secure, validated, institution-wide abstraction layer. Learn how leading institutions are transforming clinical trials, registries, and retrospective research by centralizing chart abstraction.

The Team at Brim Analytics

February 20, 2026

Artificial intelligence is reshaping how healthcare organizations collect, validate, and analyze NSQIP data, enabling faster abstraction and more scalable surgical outcomes reporting. In this article, we explain what NSQIP is, how AI improves workflows built on the NSQIP database, and how platforms like Brim help automate abstraction while preserving human-in-the-loop validation. Learn how AI-driven tools can reduce abstraction burden, improve NSQIP score benchmarking, and support high-quality surgical quality improvement initiatives.

The Team at Brim Analytics

February 12, 2026

Brim Analytics was born out of years of clinical informatics research at Vanderbilt and scaled through the ARPA-H–funded DAGCAP project. This post tells the story of how Brim evolved from an academic research effort into a production-ready platform for AI-assisted chart abstraction, built to support real-world clinical research, trials, and healthcare operations.

The Team at Brim Analytics

February 5, 2026

A large pediatric health system used Brim to identify high-risk surgical patients who needed rescheduling from a low-acuity ambulatory surgery center to a higher-acuity setting. By automatically abstracting dozens of risk criteria from unstructured clinical notes, Brim reduced manual chart review from ~320 nursing hours per month to ~4 hours while maintaining 99% agreement with nurse practitioner review.

The Team at Brim Analytics

January 30, 2026

Brim’s January 2026 release introduces structured data support, project-level LLM configuration, and a series of design improvements that make real-world workflows easier to manage. Teams can now combine structured and unstructured data, customize models by project, and move faster with a smoother, more intuitive experience.

The Team at Brim Analytics

January 29, 2026

A non-technical researcher used Brim to independently define, review, and iteratively improve AI-generated abstractions of “evidence of cancer” from oncology notes—without bioinformatics or engineering support. By keeping the full abstraction loop in the hands of a domain expert, Brim enabled high agreement with gold-standard labels while making clinical judgment explicit, inspectable, and scalable.

The Team at Brim Analytics

January 21, 2026

An academic research consortium used Brim to scan nearly 10,000 unstructured clinical notes and identify a previously uncurated rare-disease cohort in minutes instead of months. By combining AI-guided discovery with targeted human validation, Brim enabled researchers to surface new patient cohorts and define structured variables only after meaningful clinical signals emerged.

The Team at Brim Analytics

January 21, 2026

In our December release, we help you save compute time and cost with Conditional Generation, which allows you to generate variables only when certain criteria are met. We also add a new Token Usage Dashboard that breaks down token consumption by month, project, variable, and model to give teams clearer visibility into spend.

The Team at Brim Analytics

December 15, 2025

AI is transforming radiology with advanced imaging analysis and faster diagnostics. Learn how smart data management enhances accuracy and supports research goals.

The Team at Brim Analytics

November 13, 2025

Discover how ChatGPT is transforming healthcare with AI-driven support, improving patient care, diagnostics, and operational efficiency across the industry.

The Team at Brim Analytics

November 7, 2025

Brim’s new Variable Scorecard helps teams design clearer, more consistent variables by automatically evaluating each one across Simplicity, Semantics, References, and Completeness. It gives instant, actionable feedback and concrete next steps for improvement. The result: faster iteration, higher-quality variables, and more reliable abstraction at scale.

The Team at Brim Analytics

October 31, 2025

Manual chart abstraction consumes more time and money than most research teams realize. We analyzed over 100 projects totaling 30,000+ hours of effort to show how quickly those costs grow. Use Brim’s interactive calculator to estimate your own abstraction workload and see how it compares.

The Team at Brim Analytics

October 29, 2025

Chart abstraction powers many aspects of healthcare, but is expensive, time-consuming, and error prone. Learn more about the process, challenges, outsourcing, and applications of AI.

The Team at Brim Analytics

October 15, 2025

Medical data extraction turns messy, unstructured clinical records into structured data that researchers and health systems can actually use. This post explores how manual abstraction, NLP, APIs, OCR, and generative AI each contribute to the process, and how Brim contributes to make chart abstraction faster, more accurate, and easier to scale.

The Team at Brim Analytics

October 9, 2025

This month’s Brim release gives you more control over complex variables with a redesigned variable screen, explicit referencing in prompts, the ability to ignore text and focus on inputs, and filters to include only the documents you want.

The Team at Brim Analytics

October 6, 2025

Explore how the integration of synthetic healthcare data and AI improves privacy, enhances research, and accelerates innovation in medical data analysis.

The Team at Brim Analytics

September 24, 2025

AI abstraction pipelines don’t stay accurate on their own. This post explores how to monitor for drift, review representative samples, and set smart thresholds so your workflows remain reliable as they scale.

The Team at Brim Analytics

September 18, 2025

Validating AI chart abstraction is critical, but doing it manually is slow, error-prone, and hard to measure. This post explores why validation matters, how Brim’s Validation Tool makes it faster and easier, and how you can know if your AI is truly ready for production.

The Team at Brim Analytics

September 16, 2025

Brim achieved 100% specificity in this medical research case study, identifying every stroke case after surgery.

The Team at Brim Analytics

September 15, 2025

One team reviewed 1,000 charts in a weekend using Brim’s AI-driven chart abstraction. Learn how speed and accuracy transformed their clinical workflow.

The Team at Brim Analytics

September 15, 2025

See how Brim accelerated drug repurposing with AI-powered chart abstraction, helping teams identify new indications faster and streamline clinical insights.

The Team at Brim Analytics

September 15, 2025

Most AI pilots fail before they ever deliver ROI. This post unpacks why DIY LLM wrappers break down at scale, from validation and drift to integration headaches, and explains how Brim powers reliable, clinician-ready abstraction across patients, documents, and sites.

The Team at Brim Analytics

September 5, 2025

July Release: Brim’s new Validation Tool helps you compare abstraction results to a golden dataset, giving you instant insight into accuracy and consistency. With seamless REDCap integration and variable referencing, Brim now supports a fully connected, end-to-end research workflow.

The Team at Brim Analytics

August 28, 2025

Curious how Brim actually turns messy clinical notes into structured, research-ready data? This post walks through each step of the process so you can see exactly how AI-guided abstraction works in practice. Whether you’re running clinical trials, registries, or retrospective studies, you’ll come away with a clear picture of how Brim can fit into your workflow.

The Team at Brim Analytics

August 20, 2025

Brim is celebrating 100 projects at Vanderbilt and the team effort it took to build a flexible chart abstraction platform across the institution.

The Team at Brim Analytics

August 12, 2025

Brim Analytics now offers full integration with REDCap, enabling researchers to streamline chart abstraction workflows from start to finish. Designed by researchers and backed by ARPA-H, Brim delivers faster, more accurate abstraction, empowering teams to focus on discovery instead of data wrangling.

The Team at Brim Analytics

August 7, 2025

July Release: Brim’s new Validation Tool helps you compare abstraction results to a golden dataset, giving you instant insight into accuracy and consistency. With seamless REDCap integration and variable referencing, Brim now supports a fully connected, end-to-end research workflow.

The Team at Brim Analytics

August 4, 2025

Brim uses Foundation Models to achieve high quality abstraction output in a portable, secure, and flexible way.

The Team at Brim Analytics

July 9, 2025

Learn how Bring Your Own LLM empowers healthcare organizations to adopt AI solutions securely, boosting chart abstraction accuracy and unlocking new clinical insights.

The Team at Brim Analytics

June 20, 2025

Explore the Four Cs of Chart Abstraction—completeness, consistency, clarity, and compliance—and how Brim’s AI-driven approach enhances each for better outcomes.

The Team at Brim Analytics

June 20, 2025

Medical research demands speed and flexibility. Learn how Brim delivers fast, adaptable chart abstraction to power smarter, more efficient clinical studies.

The Team at Brim Analytics

June 20, 2025

Learn why Brim Analytics was built—to accelerate the path to the next cure with AI-powered clinical data abstraction that’s faster, scalable, and more precise.

The Team at Brim Analytics

June 20, 2025

Brim Analytics prioritizes data security with a rigorous path to SOC 2 compliance, ensuring trust, transparency, and protection for healthcare data.

The Team at Brim Analytics

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.

The Team at Brim Analytics

June 20, 2025

Brim speeds up enrollment for fine-grained clinical trials with AI-driven chart abstraction, enabling faster, more targeted patient identification and recruitment.

The Team at Brim Analytics

June 20, 2025

Medical research deserves better than copy-paste. See how Brim turns monotonous chart review into an curation experience that engages your curiosity.

The Team at Brim Analytics

June 20, 2025

Brim’s Modular AI Abstraction streamlines medical chart data extraction with flexible, scalable solutions that enhance accuracy and improve clinical workflows.

The Team at Brim Analytics

June 20, 2025

How Brim's API enables digital transformation by seamlessly integrating with your tech stack and clinical notes to deliver data-driven insights.

The Team at Brim Analytics

June 20, 2025

Explore Brim’s May 2025 Feature Release—new tools that simplify complex retail data, enhance insights, and empower smarter, faster decision-making.

The Team at Brim Analytics

June 20, 2025