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Algorithm and care pathway: Clinical guidelines and healthcare processes

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Artificial Intelligence in Medicine (AIME 1997)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1211))

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Abstract

This paper reports ongoing work in the project PRESTIGE: Guidelines in Healthcare. An approach has been developed to representing the knowledge content of clinical guideline and protocols, using a declarative model incorporating a lifecycle model of clinical acts and activities. We also encountered the need to analyse and model the healthcare processes in which the use of a clinical guideline is embedded. A business process re-engineering (BPRE) methodology, developed in the previous AIM programme project SHINE, has been used for this purpose, enabling the mapping of the knowledge components of a clinical guideline to the specific healthcare processes where they are applicable. We review the need for a combination of algorithmic and process-oriented views of guideline knowledge in order to enable effective delivery of guideline-based clinical decision support.

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Elpida Keravnou Catherine Garbay Robert Baud Jeremy Wyatt

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© 1997 Springer-Verlag Berlin Heidelberg

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Gordon, C., Johnson, P., Waite, C., Veloso, M. (1997). Algorithm and care pathway: Clinical guidelines and healthcare processes. In: Keravnou, E., Garbay, C., Baud, R., Wyatt, J. (eds) Artificial Intelligence in Medicine. AIME 1997. Lecture Notes in Computer Science, vol 1211. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0029437

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  • DOI: https://doi.org/10.1007/BFb0029437

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-62709-8

  • Online ISBN: 978-3-540-68448-0

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