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Information requisition is the core of guideline-based medical care: which information is needed for whom?

Authors

  • Theresia Gschwandtner MSc,

    Corresponding author
    1. Research Fellow, Institute of Software Technology and Interactive Systems, Vienna University of Technology, Vienna, Austria
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  • Katharina Kaiser PhD,

    1. Research Fellow, Center for Medical Statistics, Informatics and Intelligent Systems, Medical University of Vienna, Vienna, Austria and Institute of Software Technology and Interactive Systems, Vienna University of Technology, Vienna, Austria
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  • Silvia Miksch PhD

    1. Senior Research Fellow, Department of Information and Knowledge Engineering (ike), Danube University Krems, Krems, Austria and Institute of Software Technology and Interactive Systems, Vienna University of Technology, Vienna, Austria
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Ms Theresia Gschwandtner, Institute of Software Technology & Interactive Systems, Vienna University of Technology, Favoritenstraße 9-11/188, 1040 Vienna, Austria. E-mail: gschwandtner@ifs.tuwien.ac.at

Abstract

Rationale, aims and objectives  It is mandatory for the design of an efficient software product to know the different groups of users of a software tool, the tasks the users want to perform with it, and the information that is required for it. Our goal is to establish a comprehensive information source for the development of a consistent software environment supporting all tasks emerging from the creation to the execution of a computerized clinical practice guideline (CPG) for different user groups.

Methods  We conducted a comprehensive literature review to investigate the different user groups of a computerized CPG as well as their specific information needs.

Results  We provide a complete catalogue of every single aspect that may be related to information needs of any party concerned. In particular, we give detailed information on the tasks of guideline modellers on the one hand, and clinical information needs (i.e. information needs of physicians, nurses, nurse practitioners and patients) on the other hand.

Conclusion  By providing categorized information from several studies and publications, we establish an exhaustive information basis for the design of a useful software tool facilitating the formalization and the execution of a CPG.

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