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A Data-Driven Discrete Event Simulation Model to Improve Emergency Department Logistics

Abourraja, Mohamed Nezar (author)
KTH,Hälsoinformatik och logistik
Marzano, Luca, 1995- (author)
KTH,Hälsoinformatik och logistik
Raghothama, Jayanth (author)
KTH,Hälsoinformatik och logistik
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Boodaghian Asl, Arsineh (author)
KTH,Hälsoinformatik och logistik
Darwich, Adam S. (author)
KTH,Hälsoinformatik och logistik
Meijer, Sebastiaan, Professor, 1979- (author)
KTH,Hälsoinformatik och logistik
Lethvall, Sven (author)
Uppsala University Hospital,Uppsala,Sweden
Falk, Nina (author)
Uppsala University Hospital,Uppsala,Sweden
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 (creator_code:org_t)
Institute of Electrical and Electronics Engineers (IEEE), 2022
2022
English.
In: Proceedings of the 2022 Winter Simulation Conference. - : Institute of Electrical and Electronics Engineers (IEEE).
  • Conference paper (peer-reviewed)
Abstract Subject headings
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  • Demands for health care are becoming overwhelming for healthcare systems around the world regarding theavailability of resources, particularly, in emergency departments (EDs) that are continuously open and mustserve immediately any patient who comes in. Efficient management of EDs and their resources is requiredmore than ever. This could be achieved either by optimizing resource utilization or by the improvement ofhospital layout. This paper investigates, through data-driven simulation alternative designs of workflowsand layouts to operate the ED of the Uppsala University Hospital in Sweden. Results are analyzed tounderstand the requirements across the hospital for reduced waiting times in the ED. The main observationrevealed that introducing a new ward dedicated to patients having complex diagnoses with a capacity ofless than 20 beds leads to lower waiting times. Furthermore, the use of data-mining was of great help inreducing the efforts of building the simulation model.

Subject headings

MEDICIN OCH HÄLSOVETENSKAP  -- Hälsovetenskap -- Hälso- och sjukvårdsorganisation, hälsopolitik och hälsoekonomi (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Health Sciences -- Health Care Service and Management, Health Policy and Services and Health Economy (hsv//eng)

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