Chatbot-mediated learning of cardiac auscultation

Kenneth Cho; Yun M. Foo; Bronwen Dalziel; Wendy Hu

doi:10.1111/imj.15971

Chatbot-mediated learning of cardiac auscultation

Kenneth Cho
, Yun M. Foo
, Bronwen Dalziel
, Wendy Hu

Research output: Contribution to journal › Article › peer-review

9 Citations (Scopus)

Abstract

Previous research suggested cardiac auscultation is underdeveloped in physicians-in-training. Developing proficiency requires wide exposure to signs, practice and feedback, which may not regularly occur in clinical environments. Our novel pilot study using a mixed-methods approach (n ="‰9) suggests chatbot-mediated learning of cardiac auscultation is accessible and possesses unique advantages, including immediate feedback, helping in the management of cognitive overload and facilitating deliberate practice.

Original language	English
Pages (from-to)	2176-2180
Number of pages	5
Journal	Internal Medicine Journal
Volume	52
Issue number	12
DOIs	https://doi.org/10.1111/imj.15971
Publication status	Published - Dec 2022

Bibliographical note

Publisher Copyright:
© 2022 Royal Australasian College of Physicians.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 4 Quality Education

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10.1111/imj.15971

Cite this

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AU - Dalziel, Bronwen

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Chatbot-mediated learning of cardiac auscultation

Abstract

Bibliographical note

UN SDGs

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