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# A Software System for Predicting Patient Flow at the Emergency Department of Aalborg University Hospital

*Proceedings of the 10th International Conference on Probabilistic Graphical Models*, PMLR 138:617-620, 2020.

#### Abstract

This paper presents a software system for predicting patient flow at
the emergency department of Aalborg University Hospital. The system
uses Bayesian networks as the underlying technology for the
predictions. A Bayesian network model has been developed for
predicting the hourly rate of patients arriving at the emergency
department at Aalborg University Hospital. One advantage of using
Bayesian networks is that domain knowledge and historical data can
easily be combined into an intuitive graphical model. The aim of
this paper is to describe the software system delivering the
predictions of the Bayesian network model as a decision-support
system for employee shift scheduling at the emergency department.