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https://hdl.handle.net/20.500.14279/24054
Τίτλος: | eCREST: a novel online patient simulation resource to aid better diagnosis through developing clinical reasoning | Συγγραφείς: | 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 | Λέξεις-κλειδιά: | patient simulations;clinical decision making;education;diagnosis | Ημερομηνία Έκδοσης: | Ιου-2020 | Πηγή: | BMJ simulation & technology enhanced learning, 2020, vol. 6, pp. 241–242 | Volume: | 6 | Start page: | 241 | End page: | 242 | Περιοδικό: | BMJ Simulation & Technology Enhanced Learning | Περίληψη: | 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 | Publication Type: | Peer Reviewed |
Εμφανίζεται στις συλλογές: | Άρθρα/Articles |
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