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Extra info for Efficient Decision Support Systems - Practice and Challenges in Biomedical Related Domain
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Amaral, J. , & Cotter, C. M. (2007). Effects of an integrated clinical information system on medication safety in a multihospital setting. American Journal of Health-System Pharmacy, 64(18), 1969-1977. , Courtney, G. (2010). MEWS to e-MEWS: From a paper-based to an electronic clinical decision support system. Proceedings of the European Conference on Information Management & Evaluation, , 301-311. , Dluhy, N. , & Chin, E. (2005). Modelling novice clinical reasoning for a computerized decision support system.
Moreover, in an analysis of 70 randomized controlled trial, Kawamoto et al. (2005) found that successful implementation of CDSS should “(a) provide decision support automatically as part of clinician workflow, (b) deliver decision support at the time and location of decision making, (c) provide actionable recommendations, and (d) use a computer to generate the decision support” (p. 771). These four recommendations seem to support the overall use of CDSS in improving the quality of clinical care.
These aspects may help others to compose the right team in order to optimised outcomes: Define the objective clearly. The context of the clinical rule and how it will be applied in practice should be clear for all participants. Start by making a clear structure in which the clinical rule is developed. Some content covers only one drug, some covers a certain drug class, while others concern a complete (contra-)indication. One should try to classify the content correctly. 38 - - Efficient Decision Support Systems – Practice and Challenges in Biomedical Related Domain Develop the clinical rule in a way that is clear for all participants before start and in a structured way with a pre-defined strategy.