Reducing emergency department waiting times by adjusting work shifts considering patient visits to multiple care providers

TLDR: This study introduces two iterative heuristic algorithms, which combine simulation and optimization models for scheduling the work shifts of the ED resources: physicians, nurses and technicians, which achieved an average reduction of between 20 and 64% in the total patient waiting time.

Abstract: Reducing Emergency Department (ED) overcrowding in the hope of improving the ED's operational efficiency and health care delivery ranks high on every health care decision maker's wish list. The current study concentrates on developing efficient work shift schedules that make the best use of current resource capacity with the objectives of reducing patient waiting time and leveling resource utilization as much as possible. The study introduces two iterative heuristic algorithms, which combine simulation and optimization models for scheduling the work shifts of the ED resources: physicians, nurses and technicians. The algorithms are distinctive because they account for patients being treated by multiple care providers, possibly over the course of several hours, often with interspersed waiting. In such instances, patient arrival time is not a good indicator of when the various care providers are needed. The algorithms were tested using a detailed simulation based on data from five general hospital EDs. A pat...