Abstract
Clinical practice guidelines are important instruments to support clinical care. In this work we analysed how activities are formulated in these documents and we tried to represent the activities using patterns based on semantic relations. For this we used the Unified Medical Language System (UMLS) and in particular its Semantic Network. Out of it we generated a collection of semantic patterns that can be used to automatically identify activities. In a study we showed that these semantic patterns can cover a large part of the control flow. Using such patterns cannot only support the modelling of computer-interpretable clinical practice guidelines, but can also improve the general comprehension which treatment procedures have to be accomplished. This can also lead to improved compliance of clinical practice guidelines.
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References
Field, M.J., Lohr, K.N. (eds.): Clinical Practice Guidelines: Directions for a New Program. National Academies Press, Institute of Medicine, Washington, DC (1990)
Quaglini, S., Ciccarese, P., Micieli, G., Cavallini, A.: Non-compliance with guidelines: Motivations and consequences in a case study. In: Kaiser, K., Miksch, S., Tu, S.W. (eds.) Computer-based Support for Clinical Guidelines and Protocols. Proceedings of the Symposium on Computerized Guidelines and Protocols (CGP 2004), Prague, Czech Republic. Studies in Health Technology and Informatics, vol. 101, pp. 75–87. IOS Press, Amsterdam (2004)
Fox, J., Patkar, V., Chronakis, I., Begent, R.: From practice guidelines to clinical decision support: closing the loop. Journal of the Royal Society of Medicine 102(11), 464–473 (2009)
Peleg, M., Tu, S.W., Bury, J., Ciccarese, P., Fox, J., Greenes, R.A., Hall, R., Johnson, P.D., Jones, N., Kumar, A., Miksch, S., Quaglini, S., Seyfang, A., Shortliffe, E.H., Stefanelli, M.: Comparing computer-interpretable guideline models: A case-study approach. Journal of the American Medical Informatics Association (JAMIA) 10(1), 52–68 (2003)
Tu, S.W., Musen, M.A., Shankar, R., Campbell, J., Hrabak, K., McClay, J., Huff, S.M., McClure, R., Parker, C., Rocha, R., Abarbanel, R., Beard, N., Glasgow, J., Mansfield, G., Ram, P., Ye, Q., Mays, E., Weida, T., Chute, C.G., McDonald, K., Mohr, D., Nyman, M.A., Scheital, S., Solbrig, H., Zill, D.A., Goldstein, M.K.: Modeling guidelines for integration into clinical workflow. In: Fieschi, M., Coiera, E., Li, Y.C.J. (eds.) Proceedings from the Medinfo 2004 World Congress on Medical Informatics. Studies in Health Technology and Informatics, vol. 107, pp. 174–178. AMIA, IOS Press (2004)
Svátek, V., Růžička, M.: Step-by-step mark-up of medical guideline documents. International Journal of Medical Informatics 70(2-3), 319–335 (2003)
Seyfang, A., Kaiser, K., Miksch, S.: Modelling clinical guidelines and protocols for the prevention of risks against patient safety. In: Proceedings of the XXII International Conference of the European Federation for Medical Informatics, Sarajevo, Bosnia, Herzegovina. Studies in Health Technology and Informatics, vol. 150, pp. 633–637. IOS Press, Sarajevo (2009)
Shiffman, R.N., Karras, B.T., Agrawal, A., Chen, R., Marenco, L., Nath, S.: GEM: a proposal for a more comprehensive guideline document model using XML. Journal of the American Medical Informatics Association (JAMIA) 7(5), 488–498 (2000)
Seyfang, A., Miksch, S., Marcos, M., Wittenberg, J., Polo-Conde, C., Rosenbrand, K.: Bridging the gap between informal and formal guideline representations. In: Brewka, G., Coradeschi, S., Perini, A., Traverso, P. (eds.) European Conference on Artificial Intelligence (ECAI 2006), Riva del Garda, Italy. Frontiers in Artificial Intelligence and Applications, vol. 141, pp. 447–451. IOS Press, Amsterdam (2006)
Lindberg, D., Humphreys, B.L., McCray, A.T.: The unified medical language system. Methods of Information in Medicine 32(4), 281–291 (1993)
McCray, A.T.: UMLS Semantic Network. In: Proc. of the 13th Annual Symposium on Computer Applications in Medical Care (SCAMC 1989), pp. 503–507 (1989)
Gennari, J.H., Musen, M.A., Fergerson, R.W., Grosso, W.E., Crubézy, M., Eriksson, H., Noy, N.F., Tu, S.W.: The Evolution of Protégé: An Environment for Knowledge-based Systems Development. International Journal of Human Computer Studies 58(1), 89–123 (2003)
Boxwala, A.A., Peleg, M., Tu, S.W., Ogunyemi, O., Zeng, Q., Wang, D., Patel, V.L., Greenes, R.A., Shortliffe, E.H.: GLIF3: A representation format for sharable computer-interpretable clinical practice guidelines. Journal of Biomedical Informatics 37(3), 147–161 (2004)
Moser, M., Miksch, S.: Improving Clinical Guideline Implementation Through Prototypical Design Patterns. In: Miksch, S., Hunter, J., Keravnou, E.T. (eds.) AIME 2005. LNCS (LNAI), vol. 3581, pp. 126–130. Springer, Heidelberg (2005)
Serban, R., ten Teije, A., van Harmelen, F., Marcos, M., Polo-Conde, C.: Extraction and use of linguistic patterns for modelling medical guidelines. Artificial Intelligence in Medicine 39(2), 137–149 (2007)
Serban, R., ten Teije, A.: Exploiting thesauri knowledge in medical guideline formalization. Methods Inf. Med. 48, 468–474 (2009)
Peleg, M., Tu, S.W.: Design patterns for clinical guidelines. Artificial Intelligence in Medicine 47(1), 1–24 (2009)
Essaihi, A., Michel, G., Shiffman, R.N.: Comprehensive categorization of guideline recommendations: Creating an action palette for implementers. In: AMIA 2003 Symposium Proceedings, AMIA, pp. 220–224 (2003)
Kaiser, K., Akkaya, C., Miksch, S.: How can information extraction ease formalizing treatment processes in clinical practice guidelines? A method and its evaluation. Artificial Intelligence in Medicine 39(2), 151–163 (2007)
Taboada, M., Meizoso, M., Riaño, D., Alonso, A., Martínez, D.: From Natural Language Descriptions in Clinical Guidelines to Relationships in an Ontology. In: Riaño, D., ten Teije, A., Miksch, S., Peleg, M. (eds.) KR4HC 2009. LNCS, vol. 5943, pp. 26–37. Springer, Heidelberg (2010)
Denecke, K.: Semantic structuring of and information extraction from medical documents using the umls. Methods of Information in Medicine 47, 425–434 (2008)
Friedman, C., Alderson, P.O., Austin, J.H.M., Cimino, J.J., Johnson, S.B.: A general naturallanguage text processor for clinical radiology. Journal of the American Medical Informatics Association (JAMIA) 1(2), 161–174 (1994)
National Collaborating Centre for Women’s and Children’s Health: Induction of labour. Clinical guideline 70, National Institute for Health and Clinical Excellence (NICE), London (UK) (July 2008)
Aronson, A.R.: Effective mapping of biomedical text to the UMLS Metathesaurus: the MetaMap program. In: Proceedings of the 25th Annual Americal Medical Informatics Association Symposium (AMIA 2001), Washington, D.C, November 3-7, pp. 17–21 (2001)
Chen, Z., Perl, Y., Halper, M., Geller, J., Gu, H.: Partitioning the UMLS Semantic Network. IEEE Transactions on Information Technology in Biomedicine 6(2), 102–108 (2002)
Lindberg, C.A. (ed.): Oxford American Writer’s Thesaurus, 2nd edn. Oxford University Press, Oxford (2008)
Institute for Clinical Systems Improvement (ICSI): Management of labor. Clinical guideline, Institute for Clinical Systems Improvement (ICSI), Bloomington (MN) (May 2009)
Cunningham, H., Maynard, D., Bontcheva, K., Tablan, V.: GATE: an architecture for development of robust HLT applications. In: Isabelle, P. (ed.) Proceedings of the 40th Anniversary Meeting of the Association for Computational Linguistics (ACL 2002), Philadelphia, PA, pp. 168–175. ACL (July 2002)
Klein, D., Manning, C.D.: Fast exact inference with a factored model for natural language parsing. In: Advances in Neural Information Processing Systems (NIPS 2002), vol. 15, pp. 3–10. MIT Press, Cambridge (2003)
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Kaiser, K., Seyfang, A., Miksch, S. (2011). Identifying Treatment Activities for Modelling Computer-Interpretable Clinical Practice Guidelines. In: Riaño, D., ten Teije, A., Miksch, S., Peleg, M. (eds) Knowledge Representation for Health-Care. KR4HC 2010. Lecture Notes in Computer Science(), vol 6512. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-18050-7_9
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DOI: https://doi.org/10.1007/978-3-642-18050-7_9
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