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EzaPredictive

door Expertisecentrum Zorgalgoritmen

AI Application
Laag vertrouwen

EzaPredictive is a set of machine-learning prediction models for hospital emergency departments (SEH) and wards, made by Expertisecentrum Zorgalgoritmen (EZA), a company set up by the Samenwerkende Algemene Ziekenhuizen. EZA says EzaPredictive 1.0 predicts how long a patient will stay at the SEH, the chance that the patient will be admitted, and the expected length of stay on the ward; alongside it EZA supplies an SEH crowding predictor ('Code Rood Voorspeller') that shows current and expected crowding for the coming hours. EZA says the models are trained with federated learning across hospitals, so patient data stay in each hospital, and that clinicians see which factors contribute to each prediction. The predictions are shown in the hospital's electronic patient record (EPD) to support patient flow and capacity planning; in EZA's report of the first deployment, the coordinating SEH doctor and nurse judge each prediction and decide what to do. EZA registered EzaPredictive 1.0 as an MDR class I device, which EUDAMED has listed as no longer on the market since 16 July 2026; hosting is not stated beyond installation in each hospital.

Bezoek website

Transparantiescore

Gewogen over vier pijlers · bijgewerkt October 20, 2026

Totaalscore
20% gewogen
ABCDF
Model
—
Nog niet beoordeeld
Infrastructuur
—
Nog niet beoordeeld

Functionaliteiten

Ed Length Of Stay Prediction
Admission Probability Prediction
Ward Length Of Stay Prediction
Ed Crowding Forecast
Prediction Factor Explanation

Leveranciersinformatie

Volledige informatie over de leverancier/provider van deze AI-applicatie

Expertisecentrum ZorgalgoritmenBekijk alle producten →
Expertisecentrum Zorgalgoritmen B.V.(Handelsnaam: EZA)
Contactinformatie
www.zorgalgoritmen.nl
Geregistreerd adres
Oudlaan 4, Utrecht, Utrecht, 3515 GA, NL

Leveranciersinformatie volgens de EU AI Act

Verificatiestatus:
Unverified
Expertisecentrum Zorgalgoritmen B.V.(Handelsnaam: EZA)
Oudlaan 4, Utrecht, Utrecht, 3515 GA, NL
Nalevingsdocumenten
CE-markering: Certified
EZA says its technology 'maakt zorgverleners niet overbodig' and that care providers are always needed to assess a model's outcome and to treat the patient (https://www.zorgalgoritmen.nl/wat-we-doen/, read 2026-10-20). In EZA's report of the first deployment of its SEH crowding predictor (11 November 2025), the hospital's project lead calls it an aid and says the coordinating SEH doctor and nurse judge each prediction and decide what to do with it; the first phase was meant to let staff experience the tool while its real-world performance is analysed (https://www.zorgalgoritmen.nl/nieuws/algoritmen-voorspellen-drukte-op-seh-bravis/). EZA publishes no accuracy figures, contraindications or instructions for use.
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Toegevoegd: October 20, 2026
Bijgewerkt: October 20, 2026

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