In this project, we conducted a statistical analysis of the dependence between admissions, discharges and the occupancy in a hospital ward. We investigate the probability of discharge as function of the ward's occupancy, and how the arrival- and discharge rates are affected by the occupancy at different times of the day. We find that the occupancy has an influence on the patients' flow.
Our analyses indicate that patients are affected by the occupancy in the ward. As a result, we find it likely that patients are also affected by the allocated capacity. We note that the staff use an adaptive strategy for determining whether patients should be admitted or discharged from the ward. These results form the foundation for a deeper analysis into the behavior of patient flow in hospitals.
|Effective start/end date
|01/06/2022 → 01/09/2022
- Technical University of Denmark (lead)
- Slagelse Sygehus
- Videns- og forskningscenter for multisygdom og kronisk sygdom
UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This project contributes towards the following SDG(s):