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A Web Platform and a Decision Model for Computer-Interpretable Guidelines

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Book cover Soft Computing Models in Industrial and Environmental Applications

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 188))

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Abstract

Situations of medical error and defensive medicine are common in healthcare environments and have repercussions in the quality of care under offer. The occurrence of adverse events and the increase of healthcare expenses are some of the consequences of medical malpractice. Indeed, these situations may be prevented by encouraging the compliance with Clinical Guidelines (CGs). However, the current format of CGs proved to be disadvantageous for real-time application, i.e., they may not provide recommendations to healthcare professionals when required, and on time. The introduction of Computer-Interpretable Guidelines (CIGs) may provide a solution to this problem, however they are not widely implemented and there are some issues that need to be contemplated. Indeed, in this paper it is presented the CompGuide project for guideline representation and sharing, combined with the handling of incomplete information in that context.

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Correspondence to Tiago Oliveira .

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Oliveira, T., Novais, P., Neves, J. (2013). A Web Platform and a Decision Model for Computer-Interpretable Guidelines. In: Snášel, V., Abraham, A., Corchado, E. (eds) Soft Computing Models in Industrial and Environmental Applications. Advances in Intelligent Systems and Computing, vol 188. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32922-7_21

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  • DOI: https://doi.org/10.1007/978-3-642-32922-7_21

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-32921-0

  • Online ISBN: 978-3-642-32922-7

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