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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

Yousra Kherabi, Damien Ming, Timothy Miles Rawson, Nathan Peiffer-Smadja
Copyright: © 2023 |Pages: 10
ISBN13: 9781668450925|ISBN10: 1668450925|ISBN13 Softcover: 9781668450932|EISBN13: 9781668450949
DOI: 10.4018/978-1-6684-5092-5.ch007
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MLA

Kherabi, Yousra, et al. "Challenges in Implementing Clinical Decision Support Systems for the Management of Infectious Diseases." Diverse Perspectives and State-of-the-Art Approaches to the Utilization of Data-Driven Clinical Decision Support Systems, edited by Thomas M. Connolly, et al., IGI Global, 2023, pp. 151-160. https://doi.org/10.4018/978-1-6684-5092-5.ch007

APA

Kherabi, Y., Ming, D., Rawson, T. M., & Peiffer-Smadja, N. (2023). Challenges in Implementing Clinical Decision Support Systems for the Management of Infectious Diseases. In T. Connolly, P. Papadopoulos, & M. Soflano (Eds.), Diverse Perspectives and State-of-the-Art Approaches to the Utilization of Data-Driven Clinical Decision Support Systems (pp. 151-160). IGI Global. https://doi.org/10.4018/978-1-6684-5092-5.ch007

Chicago

Kherabi, Yousra, et al. "Challenges in Implementing Clinical Decision Support Systems for the Management of Infectious Diseases." In Diverse Perspectives and State-of-the-Art Approaches to the Utilization of Data-Driven Clinical Decision Support Systems, edited by Thomas M. Connolly, Petros Papadopoulos, and Mario Soflano, 151-160. Hershey, PA: IGI Global, 2023. https://doi.org/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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