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Managing health care decisions and improvement through simulation modeling
Karolinska Institutet, Medical Management Centre.
Linköpings universitet.
Jönköping University, Jönköping International Business School, JIBS, Business Informatics.ORCID iD: 0000-0003-2923-9034
Karolinska Institutet, Medical Management Centre.
2011 (English)In: Quality Management in Health Care, ISSN 1063-8628, E-ISSN 1550-5154, Vol. 20, no 1, p. 15-29Article in journal (Refereed) Published
Abstract [en]

Simulation modeling is a way to test changes in a computerized environment to give ideas for improvements before implementation. This paper reviews research literature on simulation modeling as support for health care decision making. The aim is to investigate the experience and potential value of such decision support and quality of articles retrieved. A literature search was conducted and the selection criteria yielded 59 articles derived from diverse applications and methods. Most met the stated research quality criteria. This review identified how simulation can facilitate decision making and that it may induce learning. Furthermore, simulation offers immediate feedback about proposed changes, allows analysis of scenarios and promotes communication on building a shared system view and understanding of how a complex system works. However, only 14 of the 59 papers reported on implementation experiences including how decision making was supported. Based on these papers we propose steps essential for success of simulation projects not just in the computer but also in clinical reality. We also present a novel concept combining simulation modeling with the established PDSA-cycle for improvement. Future scientific inquiries concerning implementation, impact and the value for health care management are needed to realize the full potential of simulation modeling.

Place, publisher, year, edition, pages
Wolters Kluwer Health/Lippincott Williams & Wilkins , 2011. Vol. 20, no 1, p. 15-29
Keywords [en]
simulation, health care, decision making, learning, value
National Category
Information Systems
Identifiers
URN: urn:nbn:se:hj:diva-13104DOI: 10.1097/QMH.0b013e3182033bdcOAI: oai:DiVA.org:hj-13104DiVA, id: diva2:350048
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Chronic healthAvailable from: 2010-09-09 Created: 2010-09-09 Last updated: 2018-01-12Bibliographically approved

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Keller, Christina

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  • apa
  • harvard1
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  • vancouver
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More styles
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  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
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