What it does
Structured capture at the point of care.
AcuityAI Clinic runs on kiosk and device workflows, guiding clinical staff through structured intake — vitals, symptoms, diagnostic outputs — and validating completeness before data enters the pipeline.
Kiosk & device workflows
Designed for the clinical environment — fast, guided intake that fits naturally into triage workflows.
Structured intake
Vitals, symptoms, and diagnostic outputs captured in a validated, structured format every time.
Quality checks
Completeness and plausibility checks run at capture — bad data is flagged before it enters the pipeline.
FHIR-ready output
Every capture session produces FHIR-compatible data, ready for normalization through HAPI.
How it fits
How AcuityAI Clinic fits into the pipeline.
AcuityAI Clinic is the first step in a four-layer architecture — from capture to scoring to dashboards.
01
Guided intake
Clinical staff complete structured intake on a kiosk or device — vitals, symptoms, diagnostics.
02
Quality validation
Completeness and plausibility checks run automatically before data is submitted.
03
FHIR normalization
Validated data is normalized into FHIR R4 resources through the HAPI canonical layer.
04
Scoring & delivery
FHIR data triggers ML scoring and is delivered into OpenEMR workflows in real time.
Integration philosophy
Built to connect. Not to replace.
AcuityAI Clinic is designed as an infrastructure layer — it captures and structures data, then hands it off to HAPI FHIR and OpenEMR. No proprietary lock-in. No EHR replacement required.
View the full architecture →See AcuityAI Clinic in action.
We will walk through the capture workflow and show how it feeds into HAPI and OpenEMR.
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