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

MakaleAçık ErişimScopus SJRQ3
  • SDG 3 · Sağlık ve Kaliteli Yaşam

Özet

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.

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AlanDeğerDil
dc.contributor.authorGul, Muhammet
dc.contributor.authorCelik, Erkan
dc.date.accessioned2026-10-28T14:56:31.203043299Z
dc.date.available2026-10-28T14:56:31.203043299Z
dc.date.issued2020
dc.description.abstractEmergency 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.
dc.identifier.doi10.1080/20476965.2018.1547348
dc.identifier.eissn2047-6973
dc.identifier.endpage284
dc.identifier.issn2047-6965
dc.identifier.issue4
dc.identifier.pmcidPMC7738299
dc.identifier.pmid33354320
dc.identifier.scopus2-s2.0-85074034086
dc.identifier.startpage263
dc.identifier.urihttps://rdlopen.rawdatalibrary.net/r/munzur/3344
dc.identifier.volume9
dc.identifier.wosWOS:000598547500001
dc.language.isoen
dc.publisherBellwether Publishing, Ltd.
dc.relation.ispartofHealth Systems
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectemergency departments
dc.subjectreview
dc.subjectStatistical forecasting
dc.subject.classificationHealth Policy & Services
dc.subject.classificationHealth Care Sciences & Services
dc.subject.otherarticle
dc.subject.otherdiagnostic test accuracy study
dc.subject.otheremergency ward
dc.subject.otherforecasting
dc.subject.otherhealth care delivery
dc.subject.otherhuman
dc.subject.otherphysician
dc.subject.othersystematic review
dc.titleAn exhaustive review and analysis on applications of statistical forecasting in hospital emergency departments
dc.typeArticle
rdl.citation.openalex80
rdl.citation.scopus63
rdl.citation.wos54
rdl.departmentDepartment of Industrial Engineering, Munzur University, Tunceli, Turkey
rdl.oa.statusgreen
rdl.oa.statuspreprint
rdl.oa.urlhttps://www.ncbi.nlm.nih.gov/pmc/articles/7738299
rdl.scopus.quartileQ3
rdl.sdgSDG03
rdl.source.indexSCOPUS
rdl.source.indexWOS
rdl.source.indexPUBMED
rdl.wos.indexEmerging Sources Citation Index (ESCI)