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Predict patient length of stay and flow

Project Overview

Project Detail

This Azure solution helps hospital administrators use the power of machine learning to predict the length of stay for in-hospital admissions, to improve capacity planning and resource utilization. A chief medical information officer might use a predictive model to determine which facilities are overtaxed and which resources to bolster within those facilities. A care line manager might use a model to determine whether there are adequate staff resources to handle the release of a patient.

https://learn.microsoft.com/en-us/azure/architecture/example-scenario/digital-health/predict-patient-length-of-stay

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Predict patient length of stay and flow