Clinical Intelligence Platform
AI-powered platform for clinical data abstraction and workflow automation
Company profile
Company profile
Layer Health is a healthcare AI company that transforms clinical documentation and workflow through its AI-powered Clinical Intelligence Platform. Founded by AI and clinical leaders from MIT, Harvard Medical School, and Google, the company specializes in automating the labor-intensive process of medical chart review and clinical data abstraction. The platform leverages advanced large language models trained on rich, longitudinal patient data to interpret both structured and unstructured clinical information with high accuracy. Layer Health's solutions are delivered via pre-packaged, tailored, and custom-built modules that integrate natively into existing clinical workflows. The company's primary offerings include Clinical Registry Automation for cardiovascular, surgery, oncology and other service lines; Clinical Pathways that use AI to identify eligible patients for high-value procedures; and Site of Care Optimization to improve hospital capacity management. The platform is designed specifically for health systems and validates model accuracy on customer data before deployment, with continuous monitoring for sustained performance. Layer Health has demonstrated measurable ROI at leading health systems including White Plains Hospital, Intermountain Healthcare, MultiCare, and Froedtert & Medical College of Wisconsin, delivering 50%+ time savings in abstraction work and millions in incremental revenue through improved clinical decision support. The company is backed by leading investors including Define Ventures, GV, Flare Capital Partners, and MultiCare.
Company description Layer Health official website
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01 · Operating footprint
Company-profile context for clinical focus, customers, deployment, integration, milestones, and partnerships.
Cloud Saas deployment with recorded integration context.
Company milestones
Named to 2025 CB Insights Digital Health 50 (October 2025); Named to 2026 New York Digital Health 100 (February 2026); Partnership with White Plains Hospital announced (May 2025); Strategic investment from Intermountain Healthcare (June 2025)
Partnerships
02 · Flagship portfolio
Selected source-backed Company products and the available commercial context.
AI-powered platform for clinical data abstraction and workflow automation
Turn data into decisions for guideline-aligned care
AI-supported abstraction that automates clinical registry reporting
Surface any custom variable with evidence-backed accuracy, instantly
Optimize patient placement to maximize hospital capacity and revenue
03 · Research intelligence
Publications, preprints, clinical validation, and regulatory records in Evidence Position order.
Publications, clinical validation, and regulatory records connected to this Company appear here.
Research
NPJ digital medicine · Jul 6, 2026
Clinical validation
NCT06570330 · Sponsor · COMPLETED
Effect of a Cardiovascular Health Promotion Program in Youth - The Tyrolean Early Vascular Ageing-studyNCT03929692 · Mentioned · COMPLETED
Regulatory
No linked records are currently available.
04 · Company-reported outcomes
Company-reported outcomes and customer stories are distinct from linked Research Intelligence evidence.
Clinical registry abstraction validated in 10 weeks or less
Clinical pathways identifying overlooked cardiac procedure candidates
Site of care optimization for surgical cases
Automate clinical registry reporting and expedite chart review process across multiple registries
Immediate ROI achieved through AI-driven abstraction process with deep retrospective validation
Site of care optimization for surgical cases and workflow integration
Found ineligible ASC patients during training, prompting real clinical decisions; team couldn't imagine going back to old methods
Automate registry abstraction work to expand team capabilities beyond compliance
Transformed registry abstraction from fixed cost to value-generating activity
Implement AI with careful training, model validation and re-validation with clinician feedback
Chief Quality Officer endorsement for Layer's understanding of AI training and validation needs
Site of care optimization to address high-acuity beds occupied by low-complexity surgical cases
$0M expected revenue uplift (specific number redacted in source)
05 · Leadership
Leadership profiles and professional links from the current Company record.
06 · Company updates
Recent articles published on Layer Health's official website.
No Company updates are currently listed.
07 · HAIC coverage
Health AI Central reporting that mentions this Company.
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08 · Official presence
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09 · Market pathway
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Market context
Companies that use AI to automate clinical documentation, generate medical notes from patient-clinician conversations, or streamline clinical workflows. Includes ambient AI scribes, voice-to-text medical documentation, NLP-powered clinical note generation, and tools that reduce administrative burden on clinicians.
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