JSON twin: https://www.healthaidb.com/software/brim-analytics.json
Brim Analytics
https://www.brimanalytics.com/
https://www.brimanalytics.com/
Brim Analytics is an AI‑driven chart abstraction platform that uses LLMs to extract structured data and evidence from unstructured electronic medical records to accelerate research, clinical trial screening, and registry curation.
Brim installs on-premise or in cloud (AWS/Azure) and provides human-in-the-loop, evidence‑linked AI extraction for chart abstraction. It integrates with REDCap, supports bringing your own LLM endpoint, preserves data within customer networks, offers role-based access and audit logging for HIPAA compliance, and is marketed to research, clinical trial, and registry workflows.
yes
2024
Customer-controlled (deploy in customer AWS/Azure or local servers; BYO cloud region)
P0252
2025-09-07
proprietary/commercial
Custom enterprise pricing; vendor requires contact for demo and quote ("contact vendor").
enterprise_quote
2024
Containerized deployment (Docker), AWS or Azure account or local server; web browser clients
product
1.0
{
"company_name": "Brim Analytics",
"company_url": "https://www.brimanalytics.com/",
"company_offices": [
"United States"
],
"company_founding": "2024",
"product_url": "https://www.brimanalytics.com/",
"categories": [
"clinical-data-abstraction",
"clinical",
"research",
"registries",
"clinical-trial-enrollment"
],
"market_segment": [
"enterprise",
"life-sciences",
"research-institutions"
],
"links": [
"https://www.brimanalytics.com/",
"https://brim-analytics.helpscoutdocs.com/",
"https://trust.brimanalytics.com/",
"https://elion.health/products/brim-analytics",
"https://www.linkedin.com/company/brim-analytics/",
"https://www.venturenashville.com/article/2113/fabbris-brim-analytics-has-vuhealth-brock-family-center-arpa-h-support",
"https://www.vumc.org/brockcenter/news/brock-family-center-featured-panel-discussion-vanderbilt-universitys-inaugural-convoy",
"https://marketplace.aviahealth.com/company/83077",
"https://www.brimanalytics.com/post/the-next-cure-faster-why-we-built-brim-analytics",
"https://www.brimanalytics.com/blog"
],
"summary": "Brim Analytics is an AI‑driven chart abstraction platform that uses LLMs to extract structured data and evidence from unstructured electronic medical records to accelerate research, clinical trial screening, and registry curation.",
"description": "Brim installs on-premise or in cloud (AWS/Azure) and provides human-in-the-loop, evidence‑linked AI extraction for chart abstraction. It integrates with REDCap, supports bringing your own LLM endpoint, preserves data within customer networks, offers role-based access and audit logging for HIPAA compliance, and is marketed to research, clinical trial, and registry workflows.",
"target_users": [
"clinical researchers",
"data abstractors/curators",
"clinical trial teams",
"registrars/tumor registry staff",
"medical researchers",
"study coordinators",
"healthcare administrators",
"medical students",
"IT/security teams"
],
"specialties": [
"clinical research",
"pharmaceutical research",
"clinical trial pre-screening/enrollment",
"tumor registries",
"medical chart abstraction"
],
"regions_available": [
"United States",
"Canada",
"United Kingdom",
"European Union"
],
"languages_supported": [
"English"
],
"pricing_model": "enterprise_quote",
"pricing_details": "Custom enterprise pricing; vendor requires contact for demo and quote (\"contact vendor\").",
"license": "proprietary/commercial",
"deployment_model": [
"on_prem",
"cloud (AWS/Azure)",
"hybrid"
],
"os_platforms": [
"Web"
],
"features": [
"AI-powered chart abstraction (LLM-assisted)",
"Human-in-the-loop review workflow",
"Evidence-linked data points (traceable citations)",
"Batch import of patient records via CSV",
"Import/export of variables from REDCap or CSV",
"Project and permission management (per-project RBAC)",
"Collaborative review across sites",
"Audit logging of access events",
"Template/variable configuration and sharing across sites",
"Export structured data for analysis",
"Smart AI management with feedback-driven improvement",
"Support for institution-approved LLM endpoints (BYO LLM)"
],
"optional_modules": [
"REDCap integration (variable import)",
"BYO LLM connectors (Azure OpenAI, AWS Bedrock, other endpoints)",
"Multi-site shared project configuration"
],
"integrations": [
"REDCap",
"Azure OpenAI",
"AWS Bedrock",
"AWS (hosting)",
"Azure (hosting)"
],
"data_standards": [
"CSV"
],
"api_available": "yes",
"system_requirements": "Containerized deployment (Docker), AWS or Azure account or local server; web browser clients",
"compliance": [
"HIPAA"
],
"certifications": [
"SOC (AICPA SOC badge via Vanta/HIPAA compliance tooling)"
],
"security_features": [
"Encryption (in-transit and at-rest implied)",
"Role-based access control (per-project permissions)",
"Audit logs/access logging",
"Containerized deployment for isolation",
"Support for institution-approved LLM endpoints (data stay in customer's network)"
],
"privacy_features": [
"BAA available (HIPAA support)",
"Customer-controlled data residency (data stays in your network)",
"No training of larger models with customer data (project-scoped learning only)"
],
"data_residency": "Customer-controlled (deploy in customer AWS/Azure or local servers; BYO cloud region)",
"customers": [],
"user_reviews": [],
"ratings": [],
"support_channels": [
"email",
"documentation",
"request_demo",
"on-premise_deployment_support"
],
"training_options": [
"documentation",
"webinars",
"live_online"
],
"release_year": "2024",
"integration_partners": [
"REDCap",
"Azure OpenAI",
"AWS Bedrock",
"AWS",
"Azure"
],
"id": "P0252",
"slug": "brim-analytics",
"type": "product",
"version": "1.0",
"last_updated": "2025-09-07",
"links_json": {
"self": "https://www.healthaidb.com/software/brim-analytics.json"
}
}