Learning the context of a clinical process

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


Clinical guidelines provide recommendations to assist clinicians in making decisions regarding appropriate medical care for specific patient situations. However, characterizing these situations is difficult as it requires taking into account all the variations that patients may present. We propose an approach which helps with identifying and categorizing the contexts that need to be taken into account within a clinical process. Our methodology is based on a formal process model and on a collection of process execution instances. We apply machine-learning algorithms to group process instances by similarity of their paths and outcomes and derive the contextual properties of each group. We illustrate the application of our methodology to a urinary tract infection management process. Our approach yields promising results with high accuracy for some of the context groups that were identified.

Original languageEnglish
Title of host publicationBusiness Process Management Workshops - BPM 2009 International Workshops, Revised Papers
PublisherSpringer Verlag
Number of pages12
ISBN (Print)3642121853, 9783642121852
StatePublished - 2010
EventBusiness Process Management Workshops - BPM 2009 International Workshops - Ulm, Germany
Duration: 7 Sep 20097 Sep 2009

Publication series

NameLecture Notes in Business Information Processing
Volume43 LNBIP
ISSN (Print)1865-1348


ConferenceBusiness Process Management Workshops - BPM 2009 International Workshops


  • Clinical guidelines
  • business process learning
  • context
  • flexibility
  • process goals
  • process model adaptation
  • soft-goals

ASJC Scopus subject areas

  • Management Information Systems
  • Control and Systems Engineering
  • Business and International Management
  • Information Systems
  • Modeling and Simulation
  • Information Systems and Management


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