evrai builds the intelligence layer of Health-Connect: agents that watch clinical data as it flows and act on what they find — documentation gaps, compliance drift, missed revenue, and quality signals that would otherwise wait for a human to go looking.
Each agent runs on live FHIR data with activity-based scheduling — processing only patients with new information since its last pass.
Seven condition-specific agents (cardiovascular, CHF, respiratory, endocrine, renal, post-op rehab, wound care) surface documentation and treatment-gap findings as FHIR ClinicalImpressions and Flags.
Continuous gap detection against TJC standards and CMS Conditions of Participation, with mock-tracer simulation, survey-readiness scoring, and cross-references into quality measures.
Practice-area snapshots on demand: nursing handoff, hospitalist sign-out, surgical brief, ED report, and rehab progress — drawn from the patient's live record.
AI voice collection of low-dollar payer claims — the follow-up calls that are uneconomical to staff but add up across a portfolio.
Platform-wide data-quality scoring from ingest onward — quarantine-not-reject gating, dimension rollups, and use-case scorecards that show whether data is fit for the workflow consuming it.
47 HEDIS, MIPS, and ACCESS measures computed from the same connected record, unified with agent findings in one gap-closure view.
Agents are only as good as the data underneath them. evrai runs on Health-Connect's interoperability core — HL7v2 and C-CDA ingestion, FHIR R4 storage, and conformance-scored transformation — so every finding traces back to source data with a quality score attached.
The clinical workflow intelligence platform: ingestion, FHIR storage, quality measures, and the agent fleet above. evermedresearch.org
Companion iOS app for AR-assisted assessment — body tracking for range-of-motion, wound measurement, and vein visualization — writing FHIR observations back to the record.
We run walkthroughs against realistic synthetic populations that match your case mix. Tell us what you run today and we'll show you what the agents would have caught.
evermed@evermedresearch.org