Intake, triage, risk and follow-up, automated with judgment.
Adaptive triage, risk stratification and proactive care coordination wired into the systems you already run. AI handles the routine; the moment something needs a human, it routes to one.
Clinical Workflows put AI to work between the visits: structuring intake, triaging by acuity, flagging risk and coordinating follow-up, with escalation paths that put a clinician in the loop exactly when judgment is required.
Built for the clinic, not the demo.
Adaptive triage
Dynamic, branching intake that adjusts to each patient instead of a static form.
Risk stratification
A traffic-light model surfaces red and yellow flags from patient signals.
Automated escalation
Red and yellow flags open secure follow-up and route to a human without delay.
Proactive outreach
Post-visit journals and check-ins track the markers that matter for recovery.
EHR / FHIR integration
Wires into existing systems over standard interfaces, not a parallel silo.
Agentic orchestration
Multi-step agents retrieve, reason and act under guardrails, with humans on the loop.
Routine handled by AI; judgment routed to people.
Structure intake
Adaptive questionnaires capture clean, structured data up front.
Triage
Responses are assessed for acuity and routed accordingly.
Flag risk
Risk signals raise red and yellow flags with context attached.
Coordinate
Escalations open follow-up and hand off to the right human.
Every capability ships with the rigor clinical AI actually requires, not a wrapper over a model.
See how this looks in production: engineered, integrated and shipped.
Mobile community healthcareThe questions clinical teams ask.
Does the AI make clinical decisions?
No. It structures, triages and flags. Clinical decisions stay with clinicians; escalation routes to a human the moment judgment is needed.
Can it work with our existing EHR and tools?
Yes. Workflows integrate over FHIR / HL7 and standard APIs into the systems you already run.
How is risk flagging kept safe?
Flags are explainable and confidence-scored, with conservative thresholds and human review on anything consequential.
Built by the team behind clinical platforms at Netsmart, eVisit and The Change Companies.
A 30-minute call. We map the clinical workflow and the compliance bar, then walk through how our healthcare AI fits, so the next decision is easy.
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