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Design and Implementation Issues

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Book cover Clinical Decision Support Systems

Part of the book series: Health Informatics ((HI))

Abstract

The early 1970s were a time of great optimism for researchers in the field of medical artificial intelligence. The initial successes of systems such as MYCIN,1 CASNET,2 and the Leeds abdominal pain system3 made it reasonable to assume that it was only a matter of time until computers became a standard part of physicians’ diagnostic armamentarium. Over the past few years, the emphasis in clinical decision support has shifted from its initial narrow focus on diagnostic expert systems to a much broader range of applications. Increasingly, clinicians have access to alerts, reminders, and patient-specific advice for such common tasks as prescription writing and test ordering.4,5,6,7 Despite these gains, CDSS are not yet common in patient care settings.8 This chapter will examine the key design and implementation concerns that must be addressed if these systems are to realize their full potential.

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Authors and Affiliations

  1. Department of Medical Education, Morehouse School of Medicine, Atlanta, GA, 30324, USA

    Jerome H. Carter MD (Chief Executive Officer NT&M Informatics and Clinical Associate Professor of Medical Education)

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  1. Jerome H. Carter MD
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Editors and Affiliations

  1. Health Informatics Program Department of Health Services Administration School of Health Professions, University of Alabama at Birmingham, Birmingham, AL, 35294, USA

    Eta S. Berner EdD, FACMI, FHIMSS (Professor) (Professor)

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Carter, J.H. (2007). Design and Implementation Issues. In: Berner, E.S. (eds) Clinical Decision Support Systems. Health Informatics. Springer, New York, NY. https://doi.org/10.1007/978-0-387-38319-4_4

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  • DOI: https://doi.org/10.1007/978-0-387-38319-4_4

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