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EzaPredictive

by Expertisecentrum Zorgalgoritmen

AI Application
Low Confidence

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.

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Transparency Score

Weighted across four pillars · updated October 20, 2026

Overall grade
20% weighted
ABCDF
Model
—
Not yet assessed
Infrastructure
—
Not yet assessed

Capabilities

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

Vendor Information

Complete information about the vendor/provider of this AI application

Expertisecentrum ZorgalgoritmenView all products →
Expertisecentrum Zorgalgoritmen B.V.(Trading as: EZA)
Contact Information
www.zorgalgoritmen.nl
Registered Address
Oudlaan 4, Utrecht, Utrecht, 3515 GA, NL

EU AI Act Provider Information

Verification Status:
Unverified
Expertisecentrum Zorgalgoritmen B.V.(Trading as: EZA)
Oudlaan 4, Utrecht, Utrecht, 3515 GA, NL
Compliance Documents
CE Marking: 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.
Compliance & Risk

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Added: October 20, 2026
Updated: October 20, 2026

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