The hospital is under ever-increasing bed pressures; at any one time, over 100 medically fit patients can be waiting for discharge. Some of this delay is due to provision of social care, some of this delay is due to ongoing rehabilitation (physio/occupational therapy workup).
The aim of this project was to create a Discrete Event Simulation model that attempted to estimate an individual patient’s length of stay (LOS) based on patient demographics, comorbidities and previous admission history, as well as the patient’s social care need.
The model experimented with various scenarios, including reducing placement times, and accelerated discharge for frail patients.
SHIFT - Hospital to Community: modelling individual length of stay and social care needs to accelerate discharge for medically fit and frail patients, reducing unnecessary time spent in hospital once treatment is complete.