An exhaustive review and analysis on applications of statistical forecasting in hospital emergency departments

Gul M., Celik E.

Health Systems, vol.9, no.4, pp.263-284, 2020 (ESCI) identifier identifier identifier

  • Publication Type: Article / Article
  • Volume: 9 Issue: 4
  • Publication Date: 2020
  • Doi Number: 10.1080/20476965.2018.1547348
  • Journal Name: Health Systems
  • Journal Indexes: Emerging Sources Citation Index (ESCI), Scopus
  • Page Numbers: pp.263-284
  • Keywords: Statistical forecasting, emergency departments, review
  • Istanbul University Affiliated: Yes


© 2018 Operational Research Society.Emergency departments (EDs) provide medical treatment for a broad spectrum of illnesses and injuries to patients who arrive at all hours of the day. The quality and efficient delivery of health care in EDs are associated with a number of factors, such as patient overall length of stay (LOS) and admission, prompt ambulance diversion, quick and accurate triage, nurse and physician assessment, diagnostic and laboratory services, consultations and treatment. One of the most important ways to plan the healthcare delivery efficiently is to make forecasts of ED processes. The aim this study is thus to provide an exhaustive review for ED stakeholders interested in applying forecasting methods to their ED processes. A categorisation, analysis and interpretation of 102 papers is performed for review. This exhaustive review provides an insight for researchers and practitioners about forecasting in EDs in terms of showing current state and potential areas for future attempts.