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Mapping patient flow in a regional Australian emergency department: A model driven approach


Martin, M and Champion, R and Kinsman, L and Masman, K, Mapping patient flow in a regional Australian emergency department: A model driven approach, International Emergency Nursing, 19, (2) pp. 75-85. ISSN 1755-599X (2011) [Refereed Article]

Copyright Statement

Copyright 2010 Elsevier Ltd.

DOI: doi:10.1016/j.ienj.2010.03.003


Unified Modelling Language (UML) models of the patient journey in a regional Australian emergency department (ED) were used to develop an accurate, complete representation of ED processes and drive the collection of comprehensive quantitative and qualitative service delivery and patient treatment data as an evidence base for hospital service planning. The focus was to identify bottle-necks that contribute to over-crowding. Data was collected entirely independently of the routine hospital data collection system. The greatest source of delay in patient flow was the waiting time from a bed request to exit from the ED for hospital admission. It represented 61% of the time that these patients occupied ED cubicles. The physical layout of the triage area was identified as counterproductive to efficient triaging, and the results of investigations were often observed to be available for some time before clinical staff became aware. The use of independent primary data to construct UML models of the patient journey was effective in identifying sources of delay in patient flow, and aspects of ED activity that could be improved. The findings contributed to recent department re-design and informed an initiative to develop a business intelligence system for predicting impending occurrence of access block.

Item Details

Item Type:Refereed Article
Keywords:emergency service; hospital; medical informatics; systems analysis; patient care management
Research Division:Health Sciences
Research Group:Health services and systems
Research Field:Health care administration
Objective Division:Health
Objective Group:Evaluation of health and support services
Objective Field:Evaluation of health and support services not elsewhere classified
UTAS Author:Kinsman, L (Professor Leigh Kinsman)
ID Code:97781
Year Published:2011
Web of Science® Times Cited:33
Deposited By:Health Sciences B
Deposited On:2015-01-13
Last Modified:2017-11-02

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