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A Data-Driven Discrete Event Simulation Model to Improve Emergency Department Logistics
KTH, School of Engineering Sciences in Chemistry, Biotechnology and Health (CBH), Biomedical Engineering and Health Systems, Health Informatics and Logistics.ORCID iD: 0000-0003-3439-6982
KTH, School of Engineering Sciences in Chemistry, Biotechnology and Health (CBH), Biomedical Engineering and Health Systems, Health Informatics and Logistics.ORCID iD: 0000-0002-3398-2296
KTH, School of Engineering Sciences in Chemistry, Biotechnology and Health (CBH), Biomedical Engineering and Health Systems, Health Informatics and Logistics.ORCID iD: 0000-0002-3416-4535
KTH, School of Engineering Sciences in Chemistry, Biotechnology and Health (CBH), Biomedical Engineering and Health Systems, Health Informatics and Logistics.
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2022 (English)In: Proceedings of the 2022 Winter Simulation Conference, Institute of Electrical and Electronics Engineers (IEEE) , 2022Conference paper, Published paper (Refereed)
Abstract [en]

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.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE) , 2022.
National Category
Health Care Service and Management, Health Policy and Services and Health Economy
Identifiers
URN: urn:nbn:se:kth:diva-330232DOI: 10.1109/wsc57314.2022.10015465ISI: 000991872900062Scopus ID: 2-s2.0-85147456598OAI: oai:DiVA.org:kth-330232DiVA, id: diva2:1776357
Conference
Winter Simulation Conference, WSC 2022, Singapore, December 11-14, 2022
Note

QC 20230628

Available from: 2023-06-28 Created: 2023-06-28 Last updated: 2023-09-01Bibliographically approved

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Abourraja, Mohamed NezarMarzano, LucaRaghothama, JayanthBoodaghian Asl, ArsinehDarwich, Adam S.Meijer, Sebastiaan

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Abourraja, Mohamed NezarMarzano, LucaRaghothama, JayanthBoodaghian Asl, ArsinehDarwich, Adam S.Meijer, Sebastiaan
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Health Informatics and Logistics
Health Care Service and Management, Health Policy and Services and Health Economy

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