Diaflux: A Graphical Language for Computer-Interpretable Guidelines

  • Reinhard Hatko
  • Joachim Baumeister
  • Volker Belli
  • Frank Puppe
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6924)


In this paper, we introduce the formal representation language DiaFlux, that is simple and easy to use on the one hand. On the other hand it allows for the definition of Computer-Interpretable Guidelines (CIGs), that can solve valuable tasks being executed in the clinical context. Further, we describe a wiki-driven development process using the stepwise formalization and allowing for almost self-acquisition by the domain specialists. The applicability of the approach is demonstrated by a protocol for sepsis monitoring and treatment developed by a collaboration of clinicians.


Knowledge Acquisition Declarative Knowledge Start Node Test Node Solution Node 
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.


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  1. 1.
    Baumeister, J., Reutelshoefer, J., Puppe, F.: KnowWE: A semantic wiki for knowledge engineering. Applied Intelligence (2010)Google Scholar
  2. 2.
    Baumeister, J., Reutelshoefer, J., Puppe, F.: Engineering intelligent systems on the knowledge formalization continuum. International Journal of Applied Mathematics and Computer Science (AMCS) 21(1) (2011)Google Scholar
  3. 3.
    Baumeister, J., et al.: The knowledge modeling environment d3web.KnowME (2008), open-source
  4. 4.
    Boxwala, A.A., Peleg, M., Tu, S., Ogunyemi, O., Zeng, Q.T., Wang, D., Patel, V.L., Greenes, R.A., Shortliffe, E.H.: GLIF3: a representation format for sharable computer-interpretable clinical practice guidelines. J. of Biomedical Informatics 37(3), 147–161 (2004)CrossRefGoogle Scholar
  5. 5.
    de Clercq, P., Kaiser, K., Hasman, A.: Computer-interpretable guideline formalisms. In: ten Teije, A., Miksch, S., Lucas, P. (eds.) Computer-based Medical Guidelines and Protocols: A Primer and Current Trends, pp. 22–43. IOS Press, Amsterdam (2008)Google Scholar
  6. 6.
    Eccher, C., Ferro, A., Seyfang, A., Rospocher, M., Miksch, S.: Modeling Clinical Protocols Using Semantic MediaWiki: The Case of the Oncocure Project. In: Riaño, D. (ed.) K4HelP 2008. LNCS, vol. 5626, pp. 42–54. Springer, Heidelberg (2009)CrossRefGoogle Scholar
  7. 7.
    Forbus, K.D., de Kleer, J.: Building problem solvers. MIT Press, Cambridge (1993)zbMATHGoogle Scholar
  8. 8.
    Fox, J., Johns, N., Rahmanzadeh, A.: Disseminating medical knowledge: the proforma approach. Artificial Intelligence in Medicine 14(1-2), 157–182 (1998), selected Papers from AIME 1997Google Scholar
  9. 9.
    German Sepsis-Society: Sepsis guideline,
  10. 10.
    Ghidini, C., Kump, B., Lindstaedt, S., Mahbub, N., Pammer, V., Rospocher, M., Serafini, L.: MoKi: The Enterprise Modelling Wiki. In: Aroyo, L., Traverso, P., Ciravegna, F., Cimiano, P., Heath, T., Hyvönen, E., Mizoguchi, R., Oren, E., Sabou, M., Simperl, E. (eds.) ESWC 2009. LNCS, vol. 5554, pp. 831–835. Springer, Heidelberg (2009)CrossRefGoogle Scholar
  11. 11.
    Hommersom, A., Groot, P., Lucas, P., Marcos, M., Martínez-Salvador, B.: A constraint-based approach to medical guidelines and protocols. In: ten Teije, A., Miksch, S., Lucas, P. (eds.) Computer-based Medical Guidelines and Protocols: A Primer and Current Trends. Studies in Health Technology and Informatics, vol. 139, pp. 213–222. IOS Press (2008)Google Scholar
  12. 12.
    Isern, D., Moreno, A.: Computer-based execution of clinical guidelines: A review. International Journal of Medical Informatics 77(12), 787–808 (2008)CrossRefGoogle Scholar
  13. 13.
    Krötzsch, M., Vrandečić, D., Völkel, M.: Semantic MediaWiki. In: Cruz, I., Decker, S., Allemang, D., Preist, C., Schwabe, D., Mika, P., Uschold, M., Aroyo, L.M. (eds.) ISWC 2006. LNCS (LNAI), vol. 4273, pp. 935–942. Springer, Heidelberg (2006)CrossRefGoogle Scholar
  14. 14.
    Mersmann, S., Dojat, M.: SmartCaretm - automated clinical guidelines in critical care. In: ECAI 2004/PAIS 2004: Proceedings of the 16th European Conference on Artificial Intelligence, including Prestigious Applications of Intelligent Systems, pp. 745–749. IOS Press, Valencia (2004)Google Scholar
  15. 15.
    Miksch, S., Shahar, Y., Johnson, P.: Asbru: A task-specific, intention-based, and time-oriented language for representing skeletal plans, pp. 9-1–9-20. Open University, UK (1997)Google Scholar
  16. 16.
    Peleg, M., Tu, S., Bury, J., Ciccarese, P., Fox, J., Greenes, R.A., Miksch, S., Quaglini, S., Seyfang, A., Shortliffe, E.H., Stefanelli, M., et al.: Comparing computer-interpretable guideline models: A case-study approach. JAMIA 10 (2003)Google Scholar
  17. 17.
    Reutelshoefer, J., Lemmerich, F., Haupt, F., Baumeister, J.: An extensible semantic wiki architecture. In: SemWiki 2009: Fourth Workshop on Semantic Wikis – The Semantic Wiki Web (CEUR proceedings 464) (2009)Google Scholar
  18. 18.
    Schaffert, S.: IkeWiki: A semantic wiki for Collaborative knowledge management. in: STICA 2006: 1st International Workshop on Semantic Technologies in Collaborative Applications, Manchester, UK (2006)Google Scholar
  19. 19.
    Schaffert, S., Bry, F., Baumeister, J., Kiesel, M.: Semantic Wikis. IEEE Software 25(4), 8–11 (2008)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Reinhard Hatko
    • 1
  • Joachim Baumeister
    • 2
  • Volker Belli
    • 2
  • Frank Puppe
    • 1
  1. 1.Institute of Computer ScienceUniversity of WürzburgGermany
  2. 2.denkbares GmbHWürzburgGermany

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