Medical Expert Systems

A Study of Trust and Acceptance by Healthcare Stakeholders

Ioannis Vourgidis, Shadreck Joseph Mafuma, Paul Wilson, Jenny Carter, Georgina Cosma

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The increasing prevalence of complex technology in the form of medical expert systems in the healthcare sector is presenting challenging opportunities to clinicians in their quest to improve patients’ health outcomes. Medical expert systems have brought measurable improvements to the healthcare outcomes for some patients. This paper highlights the importance of trust and acceptance in the healthcare industry amongst receivers of the care as well as other stakeholders and between large healthcare organizations. Studies show that current conceptual trust models, which are being used to measure the degree of trust relationships in different healthcare settings, cannot be easily evaluated because of the resistance of organizational and social changes which are to be implemented. Research findings also suggest that the use of medical expert systems do not automatically guarantee improved patient healthcare outcomes. Furthermore, during the building of predictive and diagnostic expert medical systems, studies recommend the use of algorithms which can deal with noisy and imprecise data which is typical in healthcare data. Such algorithms include fuzzy rule based systems.

Original languageEnglish
Title of host publicationAdvances in Computational Intelligence Systems
Subtitle of host publicationContributions Presented at the 18th UK Workshop on Computational Intelligence, September 5-7, 2018, Nottingham, UK
EditorsAhmad Lotfi, Hamid Bouchachia, Alexander Gegov, Caroline Langensiepen, Martin McGinnity
PublisherSpringer Verlag
Pages108-119
Number of pages12
ISBN (Electronic)9783319979823
ISBN (Print)9783319979816
DOIs
Publication statusPublished - 11 Aug 2018
Event18th Annual UK Workshop on Computational Intelligence - Nottingham Trent University, Nottingham, United Kingdom
Duration: 5 Sep 20187 Sep 2018
Conference number: 18
http://ukci2018.uk/ (Link to Workshop Website)

Publication series

NameAdvances in Intelligent Systems and Computing
Volume840
ISSN (Print)2194-5357

Workshop

Workshop18th Annual UK Workshop on Computational Intelligence
Abbreviated titleUKCI 2018
CountryUnited Kingdom
CityNottingham
Period5/09/187/09/18
Internet address

Fingerprint

Expert systems
Knowledge based systems
Fuzzy rules
Health
Industry

Cite this

Vourgidis, I., Mafuma, S. J., Wilson, P., Carter, J., & Cosma, G. (2018). Medical Expert Systems: A Study of Trust and Acceptance by Healthcare Stakeholders. In A. Lotfi, H. Bouchachia, A. Gegov, C. Langensiepen, & M. McGinnity (Eds.), Advances in Computational Intelligence Systems : Contributions Presented at the 18th UK Workshop on Computational Intelligence, September 5-7, 2018, Nottingham, UK (pp. 108-119). (Advances in Intelligent Systems and Computing; Vol. 840). Springer Verlag. https://doi.org/10.1007/978-3-319-97982-3_9
Vourgidis, Ioannis ; Mafuma, Shadreck Joseph ; Wilson, Paul ; Carter, Jenny ; Cosma, Georgina. / Medical Expert Systems : A Study of Trust and Acceptance by Healthcare Stakeholders. Advances in Computational Intelligence Systems : Contributions Presented at the 18th UK Workshop on Computational Intelligence, September 5-7, 2018, Nottingham, UK. editor / Ahmad Lotfi ; Hamid Bouchachia ; Alexander Gegov ; Caroline Langensiepen ; Martin McGinnity. Springer Verlag, 2018. pp. 108-119 (Advances in Intelligent Systems and Computing).
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abstract = "The increasing prevalence of complex technology in the form of medical expert systems in the healthcare sector is presenting challenging opportunities to clinicians in their quest to improve patients’ health outcomes. Medical expert systems have brought measurable improvements to the healthcare outcomes for some patients. This paper highlights the importance of trust and acceptance in the healthcare industry amongst receivers of the care as well as other stakeholders and between large healthcare organizations. Studies show that current conceptual trust models, which are being used to measure the degree of trust relationships in different healthcare settings, cannot be easily evaluated because of the resistance of organizational and social changes which are to be implemented. Research findings also suggest that the use of medical expert systems do not automatically guarantee improved patient healthcare outcomes. Furthermore, during the building of predictive and diagnostic expert medical systems, studies recommend the use of algorithms which can deal with noisy and imprecise data which is typical in healthcare data. Such algorithms include fuzzy rule based systems.",
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Vourgidis, I, Mafuma, SJ, Wilson, P, Carter, J & Cosma, G 2018, Medical Expert Systems: A Study of Trust and Acceptance by Healthcare Stakeholders. in A Lotfi, H Bouchachia, A Gegov, C Langensiepen & M McGinnity (eds), Advances in Computational Intelligence Systems : Contributions Presented at the 18th UK Workshop on Computational Intelligence, September 5-7, 2018, Nottingham, UK. Advances in Intelligent Systems and Computing, vol. 840, Springer Verlag, pp. 108-119, 18th Annual UK Workshop on Computational Intelligence, Nottingham, United Kingdom, 5/09/18. https://doi.org/10.1007/978-3-319-97982-3_9

Medical Expert Systems : A Study of Trust and Acceptance by Healthcare Stakeholders. / Vourgidis, Ioannis; Mafuma, Shadreck Joseph; Wilson, Paul; Carter, Jenny; Cosma, Georgina.

Advances in Computational Intelligence Systems : Contributions Presented at the 18th UK Workshop on Computational Intelligence, September 5-7, 2018, Nottingham, UK. ed. / Ahmad Lotfi; Hamid Bouchachia; Alexander Gegov; Caroline Langensiepen; Martin McGinnity. Springer Verlag, 2018. p. 108-119 (Advances in Intelligent Systems and Computing; Vol. 840).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Vourgidis I, Mafuma SJ, Wilson P, Carter J, Cosma G. Medical Expert Systems: A Study of Trust and Acceptance by Healthcare Stakeholders. In Lotfi A, Bouchachia H, Gegov A, Langensiepen C, McGinnity M, editors, Advances in Computational Intelligence Systems : Contributions Presented at the 18th UK Workshop on Computational Intelligence, September 5-7, 2018, Nottingham, UK. Springer Verlag. 2018. p. 108-119. (Advances in Intelligent Systems and Computing). https://doi.org/10.1007/978-3-319-97982-3_9