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Recommendations for Medical Treatment Processes: The PIGS Approach

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Business Process Management Workshops (BPM 2014)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 202))

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Abstract

Medical treatment processes in hospitals are complex interactions of various actors, in the course of which treatment decisions have to be made.Clinical practice guidelines and clinical pathways provide guidance for practicioners for certain diseases. Especially for multi-morbid patients several guidelines and pathways might apply. Current process-oriented IT support in hospitals, however, does not consider multiple models for treatment recommendations.

In this contribution we define Treatment Cases (TCs) and give an operational semantics for their evolution based on Business Process Model and Notation (BPMN) models, which we use to model guidelines, pathways and standard operating procedures. This work is part of the Process Information and Guidance System (PIGS) approach, which aims at providing an overview of treatment history and give recommendations based on the current treatment state and multiple process models.

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Notes

  1. 1.

    http://www.cossac.org/tallis, built on PROforma.

  2. 2.

    http://jbpm.jboss.org.

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Authors and Affiliations

  1. Hasso Plattner Institute at the University of Potsdam, Potsdam, Germany

    Marcin Hewelt, Aaron Kunde, Mathias Weske & Christoph Meinel

Authors
  1. Marcin Hewelt
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  2. Aaron Kunde
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  3. Mathias Weske
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  4. Christoph Meinel
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Corresponding author

Correspondence to Marcin Hewelt .

Editor information

Editors and Affiliations

  1. IBM Research – Haifa, Haifa, Israel

    Fabiana Fournier

  2. Vienna University of Economics and Business, Vienna, Austria

    Jan Mendling

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© 2015 Springer International Publishing Switzerland

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Hewelt, M., Kunde, A., Weske, M., Meinel, C. (2015). Recommendations for Medical Treatment Processes: The PIGS Approach. In: Fournier, F., Mendling, J. (eds) Business Process Management Workshops. BPM 2014. Lecture Notes in Business Information Processing, vol 202. Springer, Cham. https://doi.org/10.1007/978-3-319-15895-2_2

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  • DOI: https://doi.org/10.1007/978-3-319-15895-2_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-15894-5

  • Online ISBN: 978-3-319-15895-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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