Abstract
Formalizing Clinical Practice Guidelines for subsequent computer-supported processing is a cumbersome, challenging, and time-consuming task. But currently available tools and methods do not satisfactorily support this task.
We propose a new multi-step approach using Information Extraction and Transformation. This paper addresses the Information Extraction task. We have developed several heuristics, which do not take Natural Language Understanding into account. We implemented our heuristics in a framework to apply them to several guidelines from the specialty of otolaryngology. Our evaluation shows that a heuristic-based approach can achieve good results, especially for guidelines with a major portion of semi-structured text.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
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, 52–68 (2003)
de Clercq, P.A., Blom, J.A., Korsten, H.H.M., Hasman, A.: Approaches for creating computer-interpretable guidelines that facilitate decision support. Artificial Intelligence in Medicine 31, 1–27 (2004)
Růžička, M., Svátek, V.: Mark-up Based Analysis of Narrative Guidelines with the Stepper Tool. 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. 132–136. IOS Press, Amsterdam (2004)
Polvani, K.A., Agrawal, A., Karras, B., Deshpande, A., Shiffman, R.: GEM Cutter Manual. Yale Center for Medical Informatics (2000)
Votruba, P., Miksch, S., Kosara, R.: Facilitating knowledge maintenance of clinical guidelines and protocols. In: Fieschi, M., Coiera, E., Li, Y.C.J. (eds.) Proc. from the Medinfo 2004 World Congress on Medical Informatics, pp. 57–61. IOS Press, Amsterdam (2004)
Shahar, Y., Young, O., Shalom, E., Mayaffit, A., Moskovitch, R., Hessing, A., Galperin, M.: DEGEL: A hybrid, multiple-ontology framework for specification and retrieval of clinical guidelines. In: Dojat, M., Keravnou, E.T., Barahona, P. (eds.) AIME 2003. LNCS (LNAI), vol. 2780, pp. 122–131. Springer, Heidelberg (2003)
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, 111–131 (2001)
Steele, R., Fox, J.: Tallis PROforma Primer – Introduction to PROforma Language and Software with Worked Examples. Technical report, Advanced Computation Laboratory. Cancer Research, London, UK (2002)
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, 89–123 (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.) Proc. from the Medinfo 2004 World Congress on Medical Informatics, pp. 174–178. IOS Press, Amsterdam (2004)
Soderland, S., Aronow, D., Fisher, D., Aseltine, J., Lehnert, W.: Machine Learning of Text Analysis Rules for Clinical Records. Technical report. University of Massachusetts, Amherst, MA (1995)
Gaizauskas, R., Hepple, M., Davis, N., Guo, Y., Harkema, H., Roberts, A., Roberts, I.: AMBIT: Acquiring medical and biological information from text. In: Cox, S.J. (ed.) Proceedings of the UK e-Science All Hands Meeting, Nottingham, UK (2003)
Holowczak, R.D., Adam, N.R.: Information Extraction based Multiple-Category Document Classification for the Global Legal Network. In: Proc. of the 9th Conference on Innovative Applications of Artificial Intelligence, pp. 992–999. AAAI Press/MIT Press (1997)
Soderland, S.: Learning Information Extraction Rules for Semi-Structured and Free Text. Machine Learning 34, 233–272 (1999)
Califf, M.E., Mooney, R.J.: Relational Learning of Pattern-Match Rules for Information Extraction. In: Proceedings of the Sixteenth National Conference on Artificial Intelligence (AAAI 1999), Orlando, FL, pp. 328–334 (1999)
Liu, L., Pu, C., Han, W.: XWRAP: An XML-enabled Wrapper Construction System for Web Information Sources. In: Intern. Conference on Data Engineering (ICDE), pp. 611–621 (2000)
Baumgartner, R., Flesca, S., Gottlob, G.: Visual Web Information Extraction with Lixto. In: Proceedings of the Conference on Very Large Databases (VLDB) (2001)
Lehnert, W., Cardie, C., Fisher, D., McCarthy, J., Riloff, E., Soderland, S.: Evaluating an Information Extraction system. Journal of Integrated Computer-Aided Engineering 1 (1994)
Kaiser, K., Akkaya, C., Miksch, S.: Gaining process information of clinical practice guidelines using information extraction. Technical Report Asgaard-TR-2005-04, Institute of Software Technology & Interactive Systems. Vienna University of Technology (2005) (extended version)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Kaiser, K., Akkaya, C., Miksch, S. (2005). Gaining Process Information from Clinical Practice Guidelines Using Information Extraction. In: Miksch, S., Hunter, J., Keravnou, E.T. (eds) Artificial Intelligence in Medicine. AIME 2005. Lecture Notes in Computer Science(), vol 3581. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11527770_27
Download citation
DOI: https://doi.org/10.1007/11527770_27
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-27831-3
Online ISBN: 978-3-540-31884-2
eBook Packages: Computer ScienceComputer Science (R0)