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USE CASE

Objective

Hospital capacity simulation solution aims to predict census, hospital capacity, and patient stay. This solution demonstrates a use-case for capacity planning and management in hospitals that deal with unprecedented surges in patients (e.g., COVID-19).

Outcome

The solution is offering weekly projections of  patient-occupied hospital resources up to four weeks in the future. The projections are based on the current hospital occupancy trends as well as  predictions of future cases for the selected geography.

Business Value

The hospital capacity simulation solution enables ward and facility optimization along with cost optimization and increased quality of patient care.

H2O's AI and Data Approaches

Hospital Capacity Simulator is powered by the H2O AI Cloud Driverless AI AutoML, and H2O.ai Wave. The data science approaches include time series, SEIRD, power growth, stacked ensembles, and multivariate probabilistic Monte Carlo simulations.

 

Resources

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