Meta-design Knowledge for Clinical Decision Support Systems

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Miah, Shah Jahan ORCID: 0000-0002-3783-8769, Blake, J and Kerr, Don (2020) Meta-design Knowledge for Clinical Decision Support Systems. Australasian Journal of Information Systems, 24. pp. 1-26. ISSN 1449-8618

Abstract

Knowledge gained from a Decision Support Systems (DSS) design should ideally be reusable by DSS designers and researchers. The majority of existing DSS research has mainly focused on empirical problem solving rather than on developing principles that could inform solution approaches for other user contexts. Design Science Research (DSR) has contributed to effective development of various innovative DSS artifacts and associated knowledge development, but there has been limited progress on new knowledge development from a practical problem context, going beyond product and process descriptions. For DSS applications such as Clinical Decision Support Systems (CDSS) design and development, relevant reusable prescriptive knowledge is of significance not only to understand mutability but also to extend application of theory across domains. In this paper, we develop new design knowledge abstracted from the approach taken in a representative case of innovative CDSS development, specified as an architecture and six design principles. The CDSS design artifact was initially designed for a specific clinical need is shown to be flexible for meeting demands of knowledge production both for diagnosis and treatment. It is argued that the proposed general strategy is applicable to designing CDSS artifacts in similar problem domains representing an important contribution of design knowledge both in DSS and DSR fields.

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Item type Article
URI https://vuir.vu.edu.au/id/eprint/40144
DOI https://doi.org/10.3127/ajis.v24i0.2049
Official URL https://journal.acs.org.au/index.php/ajis/article/...
Subjects Historical > FOR Classification > 0806 Information Systems
Historical > FOR Classification > 1503 Business and Management
Historical > Faculty/School/Research Centre/Department > College of Business
Keywords customer engagement ; design for knowledge translation ; radical iteration local knowledge sharing ; expert knowledge
Citations in Scopus 0 - View on Scopus
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