Brim Analytics

AI-Powered Chart Abstraction

Nashville, TN, US

Brim Analytics provides an AI-guided medical chart abstraction platform that automates the extraction of structured data from unstructured electronic medical records using Large Language Models. This platform significantly reduces chart review time and supports flexible deployment options and EHR integrations.

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Check out Brim Analytics on @MedStartr Today Brim Analytics provides an AI-guided medical chart abstraction platform that automates the extraction of structured data from unstructured electronic medical records using Large Language Models. This platform significantly reduces chart review time and supports flexible deployment options and EHR integrations. #PediatricCancer #MentalBehavioralHealth #ClinicalDocumentation #MedMo #MedStartrVentures

https://www.medstartr.ai/s/3xt8EoZdx88

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Problem Statement

Medical research is hindered by complex, unstructured clinical data, making it difficult for healthcare organizations to efficiently extract actionable insights from medical records and focus on patient care.

Core Technology

AI-guided medical chart abstraction platform using Large Language Models

Key Differentiators

SOC 2 Type II certification; HIPAA compliant with data containment architecture; Supports on-premise or cloud deployment on AWS, Azure, or local servers; Integrates with EHR systems including Epic-compatible systems via CSV, REDCap, RESTful API; Human-in-the-loop design allowing curators to validate AI-generated drafts

Clinical Focus

Surgical planning; Cancer registries; Orthopedic research; Pediatric brain tumor research; Maternal health initiatives; Clinical workflows; Medical research; Clinical trials; Pharmaceutical research; Tumor registries

Company Info

Business Model: B2B SaaS
Founded: 2024
Total Funding: Only accessible to MedStartr community members. Join now
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Disease Areas

Pediatric Cancer Mental Health

Technologies

LLMsAI & Machine Learning

Clinical & IP

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Clinical Validation

Published peer-reviewed validation (Journal of Medical Systems 2025); 99% agreement with nurse review; 100% sensitivity in post-surgical stroke detection; AMIA-presented pediatric brain tumor research studies

MedStartr Engagement Score

The MedStartr Index is a reflection of how the crowds that come to MedStartr everyday to find healthcare innovations reacted. Calculated by our AI agent Fyggy based on algorithms we have been building since 2012 and over 100 different factors, the math is proprietary and complex. Suffice to say, it has been found to be highly correlative with early stage company growth. What you see here is the public version. To learn more or to get deeper access to our predictive data on startup success for your fund or company, click here.

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A HUGE part of what early stage companies, and even late stage ones, need and get on MedStartr is honest feedback from actual patients, clinicians, hospital leaders and industry insiders. It is very easy to get tunnel vision as a founder. Please tell the team that runs this company what you think.

Clinical Benefit Potential

The potential for a project to have a large and significant impact on medical care, treatment, or prevention.

Feasibility

The likelihood that this will provide benefit for patients / care givers and that the founders can execute on their vision and plan.

Innovativeness

The distinguishing features, concept, or technology that differentiates the entry compared to others that already exist and are in widespread use.

Fundability

The reviewers' beliefs that the idea is fundable or can make it to sustainability without outside investment.

Scalability

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