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Exploring patient flow management through a lens of cognitive systems engineering
Karolinska institutet, Sweden;Karolinska University Hospital, Sweden.
Swedish National Road and Transport Research Institute, Sweden;University of South-Eastern Norway, Norway.ORCID iD: 0000-0001-5356-5126
Linnaeus University, Faculty of Health and Life Sciences, Department of Health and Caring Sciences. Linnaeus University, Linnaeus Knowledge Environments, Sustainable Health. (ReAction)ORCID iD: 0000-0002-4108-391x
Karolinska Institute, Sweden;Karolinska University Hospital, Sweden.
2023 (English)In: Ergonomics, ISSN 0014-0139, E-ISSN 1366-5847, Vol. 66, no 12, p. 2106-2120Article in journal (Refereed) Published
Abstract [en]

Hospitals work to provide quality, safety, and availability to patients with a wide variety of care needs, which makes efficient prioritisation and resource utilisation essential. Anticipation of each patients' trajectory, while monitoring available resources across the hospital, are major challenges for patient flow management. This study focuses on how hospital patient flow management is realised in situ with the help of concepts from cognitive systems engineering. Five semi-structured interviews with high level managers and shadowing observations of seven full work-shifts with management teams were conducted, to explore how patient flow is coordinated and communicated across the hospital. The data has been analysed using qualitative content analysis. The results describe patient flow management using an adapted Extended Control Model (ECOM) and reveal how authority and information might be better placed closer to clinical work for increased efficiency of patient flow.

Practitioner summary: This study describes how a large tertiary paediatric hospital's patient flow management functions. The results offer a new understanding of how patient flow management is communicated and coordinated across organisational levels of the hospital and how authority and information might be better placed closer to clinical work for increased efficiency.

Place, publisher, year, edition, pages
Taylor & Francis, 2023. Vol. 66, no 12, p. 2106-2120
Keywords [en]
Cognitive systems engineering, Extended Cognitive Control Model (ECOM), hospital management, patient safety, ward coordination
National Category
Health Care Service and Management, Health Policy and Services and Health Economy
Research subject
Health and Caring Sciences, Caring Science
Identifiers
URN: urn:nbn:se:lnu:diva-120051DOI: 10.1080/00140139.2023.2186321ISI: 000946625900001PubMedID: 36872878Scopus ID: 2-s2.0-85150616978OAI: oai:DiVA.org:lnu-120051DiVA, id: diva2:1748300
Available from: 2023-04-03 Created: 2023-04-03 Last updated: 2025-02-26Bibliographically approved

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Praetorius, GesaEkstedt, Mirjam

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Citation style
  • apa
  • ieee
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  • de-DE
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  • Other locale
More languages
Output format
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