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A multi-faceted approach to optimising a complex unplanned healthcare system

Marshall-Ponting, AJ; Kobbacy, KAH; Sapountzis, S; Kagioglou, M

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Authors

AJ Marshall-Ponting

KAH Kobbacy

M Kagioglou



Contributors

Goran Djukic
Editor

Abstract

Unscheduled and urgent health care represents the largest area of activity and cost for the UK’s National Health Service (NHS). Like typical complex systems unplanned care has the features of interdependence and having structures at different scales which requires modelling at different levels. The aim of this paper is to discuss the development of a multifaceted approach to study and optimise this complex system. We aim to integrate four different methodologies to gain better understanding of the nature of the system and to develop ways to enhance its performance. These methodologies are: (a) Lean/ Flow theory to look at the process and patients and other flows; (b) Simulation/ System Dynamics to undertake analytical analysis and multi-level modelling; (c) stakeholder consultation and use of system thinking to analyse the system and identify options, barriers and good practice; and (d) visual analytic modelling to facilitate effective decision making in this complex environment. Of particular concern are the boundary issues i.e. how changes in unplanned care will impact on the adjacent facilities and ultimately on the whole Healthcare system.

Citation

Marshall-Ponting, A., Kobbacy, K., Sapountzis, S., & Kagioglou, M. A multi-faceted approach to optimising a complex unplanned healthcare system. Presented at International Conference on Industrial Logistics, Faculty of Mechanical Engineering and Naval Architecture, University of Zagreb, Croatia

Presentation Conference Type Other
Conference Name International Conference on Industrial Logistics
Conference Location Faculty of Mechanical Engineering and Naval Architecture, University of Zagreb, Croatia
End Date Jun 16, 2012
Publication Date Jan 1, 2012
Deposit Date Jun 20, 2012
Publicly Available Date Apr 5, 2016
ISBN 9789537738167
Keywords Complex systems, simulation, methodology, healthcare.
Publisher URL http://www.iciil.org/
Additional Information Event Type : Conference
Funders : Engineering and Physical Sciences Research Council (EPSRC)
Projects : HaCIRIC

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