Clinical Registry Automation
Accelerate your clinical registry workflows with AI-recommended answers, validated against your data, verified against guidelines, and accurate beyond imagination.
50-60%+ faster abstraction
98%+ validated accuracy
<10 weeks to productivity
Operational excellence
Our Offerings
AI-Native Software
Empower your internal abstraction staff to use Layer Health’s platform to eliminate manual chart hunting
Layer Health integrates into your existing workflows with AI-suggested answers backed by direct evidence from the patient chart
Transform your registry operations by giving your abstractors the tools to work faster, ensure consistency across cases, and improve data quality
AI Transitionary Services
Layer Health’s clinical experts use our AI platform to handle the day-to-day abstraction work on your behalf
Transition gradually from Layer Health abstractor + AI support to an automated AI-driven solution
Move to automation at your own pace. Track model validation reports until the system meets each field’s required threshold for automated submission
How Layer Health Works
Custom AI Modules
Step 1
Seamless integration
EPIC and Cerner support with a standardized, secure FHIR-first approach. Connected to your existing infrastructure with no custom development required.
Step 2
Performance baselining
Measure abstractor time per case in the current workflow. Establish a clear “ground truth” to quantify future ROI
Step 3
AI activation
Roll-out Layer Health’s AI models through a structured onboarding program. Build abstractors' understanding and trust from day one
Step 4
Prove impact
Track time savings at the abstractor and registry level. See your ROI grow in real time
Testimonials

White Paper
Build True Clinical Intelligence: Transform Registry Programs into Quality Assets
Read eBook

Case Studies
Cutting White Plains Hospital’s Abstraction Time in Half Without Sacrificing Accuracy
View case study

White Paper
Modernizing Abstraction with an AI-Driven Clinical Registry Solution
View white paper










