Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/24054
Title: eCREST: a novel online patient simulation resource to aid better diagnosis through developing clinical reasoning
Authors: Kassianos, Angelos P. 
Plackett, Ruth 
Schartau, Patricia 
Valerio, Christopher 
Hopwood, Jenny 
Kay, Natasha 
Mylan, Sophie 
Sheringham, Jessica 
Major Field of Science: Social Sciences
Field Category: Psychology
Keywords: patient simulations;clinical decision making;education;diagnosis
Issue Date: Jul-2020
Source: BMJ simulation & technology enhanced learning, 2020, vol. 6, pp. 241–242
Volume: 6
Start page: 241
End page: 242
Journal: BMJ Simulation & Technology Enhanced Learning 
Abstract: In this In Practice report, we describe a novel educational resource using online patient simulations- the electronic Clinical Reasoning Educational Simulation Tool (eCREST). eCREST seeks to improve the quality of diagnoses from common respiratory symptoms seen in primary care by focusing on developing clinical reasoning skills. It has recently been tested with final-year medical students in three UK medical schools. In response to interest, we are exploring the use of eCREST to other medical schools in the UK and internationally and to other professional groups and will conduct further evaluation.
URI: https://hdl.handle.net/20.500.14279/24054
ISSN: 20566697
DOI: 10.1136/bmjstel-2019-000478
Rights: © The Author(s)
Type: Article
Affiliation : University College London 
Appears in Collections:Άρθρα/Articles

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