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Beating the Clock: A Prediction Model for Timely Care in Emergency Departments
Jonas Bienzeisler1, Wiliam Hoy1, Alexander Kombeiz1
1Institute of Medical Informatics, Medical Faculty of RWTH Aachen University, Aachen, Germany.
None:
We developed and validated a statistical prediction model using 2.5 electronic health records from 24 German emergency departments (EDs) to estimate treatment timeliness at triage. The model's moderate fit and reliance on interoperable, routine data suggest its potential for implementation in ED crowding management.
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