Hybrid simulation and modes of governance in UK healthcare

Purpose – Healthcare organisations exhibit detail and dynamic complexity. It has been argued that discrete event simulation (DES) is ideal for problems exhibiting detail complexity and system dynamics (SD) lends itself naturally to comprehend dynamic complexity. Appreciating the complexity of healthcare, this paper proposes the use of hybrid simulation wherein both SD and DES are integrated symbiotically. The paper further aims to describe how different forms of hybrid simulation can be applied to different modes of governance in UK healthcare.Design/methodology/approach – In order to find different ways that hybrid simulation can be effectively applied to different problem contexts, a literature review has been conducted to find existing hybrid studies. A meta‐review of literature on different modes of governance in UK healthcare has also been conducted.Findings – It has been induced from the literature review that hybrid simulation can be used in three different formats: hierarchical format, process‐env...

[1]  J Karnon,et al.  Selecting a decision model for economic evaluation: a case study and review , 1998, Health care management science.

[2]  Sally Brailsford,et al.  Overcoming the barriers to implementation of operations research simulation models in healthcare. , 2005, Clinical and investigative medicine. Medecine clinique et experimentale.

[3]  J. Venkateswaran,et al.  Hybrid system dynamic—discrete event simulation-based architecture for hierarchical production planning , 2005 .

[4]  R. Rhodes.  Understanding governance : policy networks, governance, reflexivity and accountability , 1997 .

[5]  Ray J. Paul,et al.  Simulation modelling in healthcare: reviewing legacies and investigating futures , 2007, J. Oper. Res. Soc..

[6]  Nathan C. Proudlove,et al.  OR and the challenge to improve the NHS: modelling for insight and improvement in in-patient flows , 2007, J. Oper. Res. Soc..

[7]  R. Rhodes.  THE HOLLOWING OUT OF THE STATE: THE CHANGING NATURE OF THE PUBLIC SERVICE IN BRITAIN , 1994 .

[8]  W. Sword,et al.  Implementation of a health care policy: An analysis of barriers and facilitators to practice change , 2005, BMC health services research.

[9]  R. Rhodes,et al.  The New Governance: Governing without Government , 1996 .

[10]  R Davies,et al.  Modelling patient flows and resource provision in health systems , 1994 .

[11]  Julie C. Lowery,et al.  Simulation of a hospital's surgical suite and critical care area , 1992, WSC '92.

[12]  Boris Sobolev.  Linking operations and health services research. , 2005, Clinical and investigative medicine. Medecine clinique et experimentale.

[13]  Yun Bae Kim,et al.  Supply chain simulation with discrete-continuous combined modeling , 2002 .

[14]  Douglas McKelvie,et al.  Coping but not coping in health and social care: masking the reality of running organisations beyond safe design capacity† , 2007 .

[15]  Brian Dangerfield,et al.  System dynamics applications to European health care issues , 1999, J. Oper. Res. Soc..

[16]  K Walshe,et al.  Evidence-based management: from theory to practice in health care. , 2001, The Milbank quarterly.

[17]  David Raffo,et al.  A model of the software development process using both continuous and discrete models , 2000 .

[18]  Sue Llewellyn,et al.  Benchmarking in UK health: a gap between policy and practice? , 2005 .

[19]  Peter C Smith,et al.  On the unintended consequences of publishing performance data in the public sector , 1995 .

[20]  Jay W. Forrester,et al.  Industrial Dynamics---After the First Decade , 1968 .

[21]  John D. Sterman,et al.  System Dynamics: Systems Thinking and Modeling for a Complex World , 2002 .

[22]  David C. Lane,et al.  Looking in the wrong place for healthcare improvements: A system dynamics study of an accident and emergency department , 2000, J. Oper. Res. Soc..

[23]  Albert T. Jones,et al.  Hierarchical production planning using a hybrid system dynamic-discrete event simulation architecture , 2004, Proceedings of the 2004 Winter Simulation Conference, 2004..

[24]  Albert T. Jones,et al.  Enterprise simulation: a hybrid system approach , 2005, Int. J. Comput. Integr. Manuf..

[25]  Andrew Greasley,et al.  A comparison of system dynamics and discrete event simulation , 2009 .

[26]  K. Dooley,et al.  Health Care Organizations as Complex Adaptive Systems , 2003 .

[27]  J. C. Lowery,et al.  Introduction to sibiulation in health care , 1996, Proceedings Winter Simulation Conference.

[28]  A. Webb,et al.  Coordination: A problem in public sector management , 1991 .

[29]  Julie C. Lowery.  Multi-hospital validation of critical care simulation model , 1993, WSC '93.

[30]  Shane N. Hall,et al.  Discrete-event simulation of health care systems , 2013 .

[31]  B. Peters,et al.  Governance, Politics and the State , 2000 .

[32]  J. Caro,et al.  Pharmacoeconomic analyses using discrete event simulation , 2012, PharmacoEconomics.

[33]  Sheldon Howard Jacobson,et al.  Application of discrete-event simulation in health care clinics: A survey , 1999, J. Oper. Res. Soc..

[34]  Chris Skelcher,et al.  Working Across Boundaries: Collaboration in Public Services , 2002 .

[35]  Julie C. Lowery,et al.  Barriers to implementing simulation in health care , 1994, Proceedings of Winter Simulation Conference.

[36]  Lowery Jc,et al.  Design and validation of a critical care simulation model. , 1992 .

[37]  Julie C. Lowery.  Introduction to simulation in health care , 1996, Winter Simulation Conference.

[38]  E. Ferlie,et al.  Relationships between Health Care Organisations , 2003 .

[39]  G. Bevan,et al.  "Systematic" , 1966, Comput. J..

[40]  J. Banks,et al.  Discrete-Event System Simulation , 1995 .