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Clinical supervision of interns: Understanding the view of interns and the potential of ICT to deliver supervision for safer patient care

Citation

Yee, KC and Madden, A and Nash, R and Connolly, M, Clinical supervision of interns: Understanding the view of interns and the potential of ICT to deliver supervision for safer patient care, Studies in Health Technology and Informatics, 241 pp. 88-94. ISSN 0926-9630 (2017) [Refereed Article]


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Copyright Statement

Copyright 2017 The authors and IOS Press. Licensed under Creative Commons Attribution Non-Commercial License 4.0 (CC BY-NC 4.0). https://creativecommons.org/licenses/by-nc/4.0/

DOI: doi:10.3233/978-1-61499-794-8-88

Abstract

Clinical communication and clinical supervision of junior healthcare professionals are identified as the two most common preventable factors to reduce medical errors. While multiple strategies have been implemented to improve clinical communication, clinical supervision has not attracted as much attention. This is in part due to the lack of understanding of clinical supervision. Furthermore, there is a lack of exploration of information communication technology (ICT) in assisting the delivery of clinical supervision from the perspective of users (i.e. junior clinicians). This paper presents a study to understand clinical supervision from the perspective of medical and pharmacy interns. The important elements of good clinical supervisors and good clinical supervision have been presented in this paper based on our study. More importantly, our results suggest a distinction between good supervisors and good supervisions. Both these factors impact on patient safety. Through discussion of user requirements of good supervision by users (interns), this paper then explores and presents a conceptual framework to assist in the discussion and design of ICT by healthcare organisations to improve clinical supervision of interns and therefore improve patient safety.

Item Details

Item Type:Refereed Article
Keywords:clinical supervision, patient safety, artificial intelligence, medical errors
Research Division:Medical and Health Sciences
Research Group:Public Health and Health Services
Research Field:Health Care Administration
Objective Division:Expanding Knowledge
Objective Group:Expanding Knowledge
Objective Field:Expanding Knowledge in the Medical and Health Sciences
Author:Yee, KC (Dr Kwang Yee)
Author:Nash, R (Dr Rosie Nash)
ID Code:120516
Year Published:2017
Deposited By:Medicine (Discipline)
Deposited On:2017-08-28
Last Modified:2017-12-13
Downloads:13 View Download Statistics

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