Recent Posts from Brim Analytics

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.
October 15, 2025
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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.
October 9, 2025
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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.
October 6, 2025
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Explore how the integration of synthetic healthcare data and AI improves privacy, enhances research, and accelerates innovation in medical data analysis.
September 24, 2025
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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.
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.
September 16, 2025

Brim achieved 100% specificity in this medical research case study, identifying every stroke case after surgery.
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.
September 15, 2025

See how Brim accelerated drug repurposing with AI-powered chart abstraction, helping teams identify new indications faster and streamline clinical insights.
September 15, 2025
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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.
September 5, 2025