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Engagement and simulation science

Engagement and simulation science

Kneebone, Roger, Weldon, Sharon Marie ORCID: 0000-0001-5487-5265 and Bello, Fernando (2019) Engagement and simulation science. In: Forrest, Kirsty and McKimm, Judy, (eds.) Healthcare Simulation at a Glance. Wiley Blackwell, Oxford, Chichester, and New Jersey, pp. 40-41. ISBN 9781118871843 ; 9781119604020 (doi:https://doi.org/10.1002/9781119604020)

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Abstract

Engagement and simulation science is a rapidly evolving field which is opening new horizons for simulation practice and research. This chapter explores how simulation can mediate between different worlds of experience, creating ‘working models’ of clinical care that can be refined collaboratively. It proposes an alternative view, where simulation becomes a means of inviting non-professionals in rather than keeping them out. Most healthcare simulation is framed as a means of training clinical professionals, whether as students or later in their careers. Emphasis is on learning how to carry out procedures or operations. The concepts of distributed simulation (DS) and sequential simulation (SqS Simulation) open new possibilities. DS allows realistic simulation to be provided in any suitable area (including public spaces), while SqS Simulation recreates pathways of care and invites participants to ‘sketch out’ possible changes through enactment.

Item Type: Book Section
Uncontrolled Keywords: Simulation; engagement; patients; healthcare
Subjects: R Medicine > R Medicine (General)
R Medicine > RT Nursing
Faculty / Department / Research Group: Faculty of Education, Health & Human Sciences
Faculty of Education, Health & Human Sciences > Institute for Lifecourse Development
Faculty of Education, Health & Human Sciences > Institute for Lifecourse Development > Centre for Professional Workforce Development
Faculty of Education, Health & Human Sciences > Department of Adult Nursing & Paramedic Science
Last Modified: 02 Aug 2021 15:04
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
Selected for REF2021: None
URI: http://gala.gre.ac.uk/id/eprint/30773

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