An AI workflow layer that sits on top of your EHR and orchestrates the patient disposition process across your entire care team — in real time.
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DispoHealth.ai connects to your existing Electronic Health Record via API — no rip-and-replace, no months of integration work. Deployable in weeks.
API-native architecture connects to Epic, Cerner, MEDITECH, athenahealth, and every major Electronic Health Record. Platform-agnostic — the only viable option for any healthcare setting.
Machine learning models trained on clinical signals, lab trajectories, vital trends, and medication patterns predict patient disposition readiness 24–48 hours in advance.
Doctors, nurses, case managers, and disposition coordinators all see the same real-time picture with clear next actions assigned — eliminating the phone calls and gaps.
Every competitor has built for one stakeholder. DispoHealth is built for the whole team — simultaneously, on any device, regardless of which Electronic Health Record your hospital runs.
AI continuously monitors for what's being missed — Skilled Nursing Facility placement lags, therapy sign-offs, transportation gaps — and surfaces escalations to the right person at the right time.
Large language models continuously scan clinical notes to flag missing documentation, incomplete orders, and pending sign-offs before they become patient disposition blockers.
Unit-level and hospital-wide views of patient disposition pipeline, predicted volumes, and care team workload — giving administrators the visibility they have never had before.