Book Chapter

Decision Support in Cardiac Surgery: Early Exploration of Requirements with Cardiac Anesthetists and Surgeons

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Citation

Lapp L, Bouamrane M, Roper M, Kavanagh K & Schraag S (2024) Decision Support in Cardiac Surgery: Early Exploration of Requirements with Cardiac Anesthetists and Surgeons. In: Digital Health and Informatics Innovations for Sustainable Health Care Systems. Studies in Health Technology and Informatics, Volume 316. IOS Press, pp. 1827 - 1831. https://doi.org/10.3233/shti240786

Abstract
Successful implementation of clinical decision support tools is rare, the key barrier being the lack of user involvement during development. Following the idea, development, exploration, assessment, long-term follow-up (IDEAL) framework, this study aims to provide early insights into the current challenges, clinical processes, and priorities when developing new decision support tools in cardiac surgery. Using a qualitative approach, semi-structured interviews were conducted with cardiac anesthetists and surgeons from three Scottish cardiac centers. Thematic analysis identified adverse postoperative outcomes, ageing cardiac patient population and changing surgical procedures to be the main challenges in cardiac surgery. Existing risk prediction tools were largely not used due to a perceived lack of utility and validation. This study underscores the need to shift focus towards predicting postoperative complications, instead of mortality. It emphasizes the importance of early collaboration with clinical experts and stakeholders in developing decision support systems that are fit for purpose. By identifying the priorities of cardiac clinicians, the study lays the groundwork for developing clinically meaningful prediction models.

Keywords
Computer based Decision Support Systems; CDSS; Cardiac Surgery; Requirements Analysis Study

StatusPublished
FundersNHS Greater Glasgow & Clyde
Title of seriesStudies in Health Technology and Informatics
Number in seriesVolume 316
Publication date31/12/2024
Publication date online31/08/2024
PublisherIOS Press
ISSN of series1879-8365
eISBN9781643685335

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Professor Matt-Mouley Bouamrane

Professor Matt-Mouley Bouamrane

Professor in Health/Social Informatics, Computing Science

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