|M.Sc Student||Jabali Ola|
|Subject||Resource Scheduling in Emergency Departments|
|Department||Department of Industrial Engineering and Management||Supervisor||Mr. David Sinreich (Deceased)|
Reducing Emergency Department (ED) overcrowding in the hope of improving the ED’s operational efficiency and healthcare delivery ranks high on every healthcare decision maker’s wish list. The first part of the current study will concentrate on developing efficient work shift schedules maximizing current resource efficiency. The study introduces two iterative work shift scheduling algorithms, WSSA-1 and WSSA-2, which combine simulation and optimization models for scheduling the work shifts of the ED resources: physician, nurses and technicians, with the objective of reducing patient Length of Stay (LOS) and leveling resource workload as much as possible.
In the second part of the study a third algorithm SWSSA is developed. It aims at maintaining patient LOS while reducing the amount of resource hours. This is done by matching patient demand to the resource availability profile by varying shift start times and their durations. This algorithm also combines simulation and optimization models for determining the work shift schedules.
The algorithms were tested using data gathered from five general hospital EDs. WSSA-1 achieved an average reduction of 7% to 17% in the combined average patient LOS. By allowing a restructure of the ED resource capacities, WSSA-2 achieved an average reduction of 8% to 29% in the combined average patient LOS. Contrary to the previous algorithms SWSSA was able to reduce the current amount of resource hours by 9% - 30% and still achieve comparable patient LOS performance (an increase of less than 5%).