Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/24050
Title: Online patient simulation training to improve clinical reasoning: a feasibility randomised controlled trial
Authors: Plackett, Ruth 
Kassianos, Angelos P. 
Kambouri, Maria 
Kay, Natasha 
Mylan, Sophie 
Hopwood, Jenny 
Schartau, Patricia 
Gray, Shani 
Timmis, Jessica 
Bennett, Sarah 
Valerio, Chris 
Rodrigues, Veena 
Player, Emily 
Hamilton, Willie 
Raine, Rosalind 
Duffy, Stephen 
Sheringham, Jessica 
Major Field of Science: Medical and Health Sciences
Field Category: Other Medical Sciences
Keywords: Clinical reasoning;Virtual patient;Simulation;Online learning;Medical students;Medical education;Feasibility study
Issue Date: 31-Jul-2020
Source: BMC medical education, 2020, vol. 20, articl. no. 245
Volume: 20
Journal: BMC Medical Education 
Abstract: Online patient simulations (OPS) are a novel method for teaching clinical reasoning skills to students and could contribute to reducing diagnostic errors. However, little is known about how best to implement and evaluate OPS in medical curricula. The aim of this study was to assess the feasibility, acceptability and potential effects of eCREST - the electronic Clinical Reasoning Educational Simulation Tool.
URI: https://hdl.handle.net/20.500.14279/24050
ISSN: 14726920
DOI: 10.1186/s12909-020-02168-4
Rights: © The Author(s).
Type: Article
Affiliation : University College London 
London School of Hygiene and Tropical Medicine 
Norwich Medical School 
University of Exeter 
Queen Mary University of London 
Publication Type: Peer Reviewed
Appears in Collections:Άρθρα/Articles

Files in This Item:
File Description SizeFormat
s12909-020-02168-4.pdf1.06 MBAdobe PDFView/Open
CORE Recommender
Show full item record

SCOPUSTM   
Citations

17
checked on Feb 1, 2024

WEB OF SCIENCETM
Citations

15
Last Week
1
Last month
0
checked on Oct 29, 2023

Page view(s)

337
Last Week
0
Last month
3
checked on Nov 21, 2024

Download(s)

183
checked on Nov 21, 2024

Google ScholarTM

Check

Altmetric


This item is licensed under a Creative Commons License Creative Commons