Guidelines-based workflow systems

S. Quaglini, C. Mossa, C. Fassino, M. Stefanelli, A. Cavallini, G. Micieli

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper describes a methodology for achieving an efficient allocation of resources while using clinical practice guidelines. The resulting system can be classified as a “guideline-based patient workflow management system”. Both medical and organisational knowledge are represented through computational formalisms, from relational tables to Petri net. Human and technological resources, necessary to guideline-based activities, are represented within an organisational model. This allows running the Petri net for simulating the implementation of the guideline in the clinical setting, in such a way to validate the model and to suggest an optimal resource allocation, before the workflow system is installed. Finally, we are experimenting the real setting implementation. For illustrating the methodology, an application concerning the management of acute ischemic stroke is presented.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherSpringer Verlag
Pages65-75
Number of pages11
Volume1620
ISBN (Print)354066162X, 9783540661627
Publication statusPublished - 1999
Event7th Joint European Conference on Artificial Intelligence in Medicine and Medical Decision Making, AIMDM 1999 - Aalborg, Denmark
Duration: Jun 20 1999Jun 24 1999

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1620
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other7th Joint European Conference on Artificial Intelligence in Medicine and Medical Decision Making, AIMDM 1999
CountryDenmark
CityAalborg
Period6/20/996/24/99

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

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  • Cite this

    Quaglini, S., Mossa, C., Fassino, C., Stefanelli, M., Cavallini, A., & Micieli, G. (1999). Guidelines-based workflow systems. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1620, pp. 65-75). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1620). Springer Verlag.