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Streamlining patient consultations for sleep disorders with a knowledge-based CDSS
Journal article   Open access   Peer reviewed

Streamlining patient consultations for sleep disorders with a knowledge-based CDSS

Jacqueline Blake, Don Kerr and John G Gammack
Information Systems, Vol.56, pp.109-119
2016
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PDF - Author's Accepted Version (Open Access)567.86 kBDownloadView
Accepted VersionPDF - Author Accepted Version (Open Access)CC BY-NC-ND V4.0 Open Access
url
https://doi.org/10.1016/j.is.2015.08.003View
Published Version

Abstract

sleep disorder workflow online clinical decision support hi-trees usability UniSC Diversity Area - Disability and Inclusion
Objectives: This paper examines the workflow of sleep physicians during a patient consultation and how an innovative clinical decision support system (CDSS) provides efficiency and effectiveness gains. Methods: The CDSS tools consisted of two input applications for patient data, with a knowledge based decision support system developed participatively with physicians and an international panel. An argument tree approach was used to produce diagnostic explanations and an evidence-based report for the physician using medically correct and shared terminology. A usability evaluation using a qualitative approach was carried out to ensure that the CDSS met the physicians' information needs, as well as the wider needs of a Sleep Investigation Unit. Results: The physicians found the CDSS both useful and usable with clear applications in triage and diagnostic decision-making, and in patient education. Conclusion: The CDSS both reduces the time and number of visits needed for consultations, and helps focus consultation on better individual patient care through informed explanation of diagnostic and treatment decisions.

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Computer Science, Information Systems

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#3 Good Health and Well-Being

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