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  • A technology-aided multi-modal training approach to assist abdominal palpation training and its assessment in medical education

Asadipour, Ali, Debattista, Kurt, Patel, Vinod and Chalmers, Alan, 2020, Journal Article, A technology-aided multi-modal training approach to assist abdominal palpation training and its assessment in medical education International Journal of Human-Computer Studies, 137 (2020). pp. 1-17. ISSN 1071-5819

Abstract or Description:

Computer-assisted multi-modal training is an effective way of learning complex motor skills in various applications. In particular disciplines (eg. healthcare) incompetency in performing dexterous hands-on examinations (clinical palpation) may result in misdiagnosis of symptoms, serious injuries or even death. Furthermore, a high quality clinical examination can help to exclude significant pathology, and reduce time and cost of diagnosis by eliminating the need for unnecessary medical imaging. Medical palpation is used regularly as an effective preliminary diagnosis method all around the world but years of training are required currently to achieve competency. This paper focuses on a multimodal palpation training system to teach and improve clinical examination skills in relation to the abdomen. It is our aim to shorten significantly the palpation training duration by increasing the frequency of rehearsals as well as providing essential augmented feedback on how to perform various abdominal palpation techniques which has been captured and modelled from medical experts. A comparative evaluation on usability and effectiveness of the method is presented in this study. Four professional tutors were invited to take part in the design, development and assessment stages of this study. Widely-used user centred design methods were employed to form a know-how document and an assessment criterion with help of medical professionals. Our interface was used to capture and develop a best practice model for each palpation tasks for further assessment. Twenty three first year medical students divided into a control group (n = 8), a semi-visually trained group (n = 8), and a fully visually trained group (n = 7) were invited to perform three palpation tasks (superficial, deep and liver). The medical students’ performances were assessed using both computer-based and human-based methods where a positive correlation was shown between the generated scores, r = .62, p (one-tailed) < .05. The visually-trained group significantly outperformed the control group in which abstract visualisation of applied forces and their palmar locations were provided to the students during each palpation examination (p < .05). Moreover, a positive trend was observed between groups when visual feedback was presented, J = 132, z = 2.62, r = 0.55.

Official URL: https://www.journals.elsevier.com/international-jo...
Subjects: Other > Subjects allied to Medicine > B800 Medical Technology
Other > Mathematical and Computer Sciences > G400 Computer Science
Other > Mathematical and Computer Sciences > G400 Computer Science > G440 Human-computer Interaction
Other > Mathematical and Computer Sciences > G500 Information Systems
Other > Mathematical and Computer Sciences > G600 Software Engineering
Other > Engineering > H600 Electronic and Electrical Engineering > H610 Electronic Engineering
Other > Engineering > H600 Electronic and Electrical Engineering > H650 Systems Engineering
School or Centre: Research Centres > Computer Science Research Centre
Identification Number or DOI: https://doi.org/10.1016/j.ijhcs.2020.102394
Additional Information:

Article number: 102394

Date Deposited: 09 Jan 2020 10:27
Last Modified: 24 Apr 2020 16:58
URI: https://researchonline.rca.ac.uk/id/eprint/4238
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