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Challenges in Implementing Clinical Decision Support Systems for the Management of Infectious Diseases

Challenges in Implementing Clinical Decision Support Systems for the Management of Infectious Diseases
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Author(s): Yousra Kherabi (Université Paris Cité, France), Damien Ming (Imperial College London, UK), Timothy Miles Rawson (Imperial College London, UK)and Nathan Peiffer-Smadja (Université Paris Cité, France)
Copyright: 2023
Pages: 10
Source title: Diverse Perspectives and State-of-the-Art Approaches to the Utilization of Data-Driven Clinical Decision Support Systems
Source Author(s)/Editor(s): Thomas M. Connolly (DS Partnership, UK), Petros Papadopoulos (University of Strathclyde, UK)and Mario Soflano (Glasgow Caledonian University, UK)
DOI: 10.4018/978-1-6684-5092-5.ch007

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Abstract

The increased availability of routine healthcare data collected through electronic medical record (EMR) systems provide opportunities for a much greater data-driven approach to healthcare. In infectious diseases, a number of Clinical Decision Support Systems (CDSSs) have shown promising results to improve quality and safety of healthcare management. However, most CDSSs have not been evaluated in real-world clinical settings and are not implemented into clinical practice. The aim of this chapter is to highlight the major challenges in translating CDSS research in infectious diseases into effective tools suitable for use in the clinical setting. Exemplars of real-world implementations and experience of introducing CDSS in infectious diseases are provided, and discussion on measurable outcomes, integration, and framework for clinical implementation proposed.

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