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UK Workshop on Computational Intelligence

UKCI 2018: Advances in Computational Intelligence Systems pp 108–119Cite as

Medical Expert Systems – A Study of Trust and Acceptance by Healthcare Stakeholders

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 840))

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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Author information

Authors and Affiliations

  1. De Montfort University, The Gateway, Leicester, LE1 9BH, UK

    Ioannis Vourgidis, Shadreck Joseph Mafuma & Paul Wilson

  2. Huddersfield University, Queensgate, Huddersfield, HD1 3DH, UK

    Jenny Carter

  3. Nottingham Trent University, Clifton Campus, Nottingham, NG11 8NS, UK

    Georgina Cosma

Authors
  1. Ioannis Vourgidis
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  2. Shadreck Joseph Mafuma
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  3. Paul Wilson
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  4. Jenny Carter
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  5. Georgina Cosma
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Corresponding authors

Correspondence to Ioannis Vourgidis , Paul Wilson or Jenny Carter .

Editor information

Editors and Affiliations

  1. School of Science and Technology, Nottingham Trent University, Nottingham, United Kingdom

    Ahmad Lotfi

  2. Faculty of Science and Technology, Bournemouth University, Poole, Dorset, United Kingdom

    Hamid Bouchachia

  3. School of Computing, University of Portsmouth, Portsmouth, Hampshire, United Kingdom

    Alexander Gegov

  4. School of Science and Technology, Nottingham Trent University, Nottingham, United Kingdom

    Caroline Langensiepen

  5. College of Science and Technology, Nottingham Trent University, Nottingham, United Kingdom

    Martin McGinnity

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Vourgidis, I., Mafuma, S.J., Wilson, P., Carter, J., Cosma, G. (2019). Medical Expert Systems – A Study of Trust and Acceptance by Healthcare Stakeholders. In: Lotfi, A., Bouchachia, H., Gegov, A., Langensiepen, C., McGinnity, M. (eds) Advances in Computational Intelligence Systems. UKCI 2018. Advances in Intelligent Systems and Computing, vol 840. Springer, Cham. https://doi.org/10.1007/978-3-319-97982-3_9

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