Linking Clinical Guidelines with Formal Representations

  • Peter Votruba
  • Silvia Miksch
  • Robert Kosara
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2780)


Clinical guidelines have been used in the medical domain for some time now, primarily to reduce proneness to errors during the treatment of specific diseases. Recently, physicians have special software at their disposal, which supports them at decision-making based on computerized protocols and guidelines. Using such tools, physicians sometimes want to know the reason why the computer recommends a particular treatment method. To comprehend the suggestions, a connection between the original guideline and its computerized representation is needed. This paper introduces a tool that was designed to provide a solution for that, the so-called Guideline Markup Tool (GMT). This tool enables the protocol designer to create links between the original guideline and its formal representation.


Clinical Guideline Formal Representation Knowledge Engineer Computerize Protocol Original Guideline 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Kosara, R., Miksch, S.: Metaphors of Movement - A Visualization and User Interface for Time-Oriented, Skeletal Plans. Artificial Intelligence in Medicine, Special Issue: Information Visualization in Medicine 22(2), 111–131 (2001)Google Scholar
  2. 2.
    Bury, J., Fox, J., Sutton, D.: The PROforma Guideline Specification Language: Progress and Prospects. In: Proceedings of the First European Workshop on Computer-Based Support for Clinical Guidelines and Protocols (EGWLP) 2000. Studies in Health Technology and Informatics, vol. 83, pp. 12–29. IOS Press, Amsterdam (2000)Google Scholar
  3. 3.
    Miksch, S., Shahar, Y., Johnson, P.: Asbru: A Task-Specific, Intention-Based, and Time- Oriented Language for Representing Skeletal Plans. In: Motta, E., Harmelen, F.v., Pierret- Golbreich, C., Filby, I., Wijngaards, N. (eds.) 7th Workshop on Knowledge Engineering: Methods & Languages (KEML 1997), Milton Keynes, UK (1997)Google Scholar
  4. 4.
    Polvani, K.-A., Agrawal, A., Karras, B., Deshpande, A., Shiffman, R.: GEM Cutter Manual. Yale Center for Medical Informatics (2000)Google Scholar
  5. 5.
    Seyfang, A., Kosara, R., Miksch, S.: Asbru’s reference manual, Asbru version 7.3. Technical Report Asgaard-TR-2002-3, Vienna University of Technology (2002)Google Scholar
  6. 6.
    Shahar, Y., Miksch, S., Johnson, P.: The Asgaard Project: A Task-Specific Framework for the Application and Critiquing of Time-Oriented Clinical Guidelines. Artificial Intelligence in Medicine 14, 29–51 (1998)CrossRefGoogle Scholar
  7. 7.
    Steele, R., Fox, J.: Tallis PROforma Primer. Advanced Computation Laboratory, Cancer Research, UK (2002)Google Scholar
  8. 8.
    Votruba, P.: Structured Knowledge Acquisition for Asbru. Master’s Thesis, Vienna University of Technology (2003)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Peter Votruba
    • 1
  • Silvia Miksch
    • 1
  • Robert Kosara
    • 2
  1. 1.Inst. of Software Technology & Interactive SystemsVienna University of TechnologyViennaAustria
  2. 2.TechGate ViennaVRVis Research Center for Virtual Reality and VisualizationViennaAustria

Personalised recommendations