Predictive Bed Demand
Predictive bed demand is the institutional forecast of in-patient bed pressure over the coming hours and days — by ward, specialty, and acuity. In HealthOS, the prediction is generated against the live operational and clinical record; it surfaces in the Operations Command Center as one of the eight institutional KPIs and is governed under published model evaluation criteria.
Last reviewed:
Bed crises are usually visible only after they happen. Capacity is allocated reactively; cancellations cascade; clinical risk rises. Predictive capacity for bed demand has historically been an analytics tower, not an operational surface.
How HealthOS runs it
The institutional workflow.
- 01
Live admissions, discharges, in-patient acuity, theater schedule, and ED arrivals feed the predictive model.
- 02
Forecast horizons (next shift, next 24h, next 72h) surface on the Operations Command Center.
- 03
Variance against prediction is tracked daily; the model's evaluation against actuals is published.
- 04
Operational decisions — surge capacity, transfer routing, staffing — flow from the same surface.
- 05
Model versions are governed under the Advisory Principle; rollback and retirement are institutional events.
Canonical layer
This workflow runs on the Predictive Systems.
The Predictive Systems is one of the layers of HealthOS. It is not a separate product; it is a property of the substrate. See the Predictive Systems layer →
Defined terminology on this page
Frequently asked
How accurate is the prediction?
Accuracy is published per institution against the published evaluation methodology. Predictions are advisory; institutional decisions remain with operational leadership.
What if the prediction is wrong?
Variance is tracked institutionally. Material drift triggers model review under the Advisory Principle.
Bed pressure should be visible before it is urgent. Predictive systems are advisories on the same record operational leadership already operates against. Signed by the Veronara Intelligence Office.
Dated · Propose a correction to corrections@veronara.com.
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