Abstract
Guideline documents offer a rich repository of information on clinical decisions, actions and prescriptions. However, clinicians do not use them as much as expected since health care organisations started to develop them. One alternative to promote the use of guidelines is to automatically select the relevant information at the point of care. But, extracting knowledge from a guideline document is an arduous and complex task. In this paper, we propose to apply the methodology CommonKADS in the analysis phase of a clinical practice guideline, with the aim of systematizing knowledge acquisition, providing a methodological support that helps to detect and document all the transformations from natural language to the structured representation of a knowledge model. When forcing to the knowledge engineer to keep these transformations, the knowledge modelling becomes more gradual.
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
Grimshaw, J.M., Russel, I.T.: Effects of clinical guidelines on medical practice: a systematic review of rigorous evaluation. Lancet 342, 1317–1322 (1993)
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), 1–27 (2004)
Schreiber, G., Akkermans, H., Anjewierden, A., de Hoog, R., Shadbolt, N., Van de Velde, W., Wielinga, W.: Knowledge Engineering and Management. In: The CommonKADS Methodology. MIT Press, Cambridge (1999)
de Clercq, P., Hasman, A., Blom, J., Korsten, H.: The application of ontologies for the development of shareable guidelines. Artificial Intelligence in Medicine 22, 1–22 (2001)
Vollebregt, A., ten Teije, A., van Harmelen, F., van der Lei, J., Mosseveld, M.: A study of PROforma, a development methodology for clinical procedures. Artificial Intelligence in Medicine 17, 195–221 (1999)
Sutton, D., Fox, J.: The Syntax and Semantics of the PROforma guideline modelling language. J. Am. Med. Inform. Assoc. 10(5), 433–443 (2003)
Svatek, V., Ruzicka, M.: Step-by-step formalisation of medical guideline content. International Journal of Medical Informatics 70(2-3), 329–335 (2003)
Votruba, P., Miksch, S., Kosara, R.: Proc. of MEDINFO 2004. In: Fieschi, et al. (eds.) Facilitating Knowledge Maintenance of Clinica Guidelines and Protocols. IOS Press, Amsterdam (2004)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Taboada, M., Meizoso, M., Martínez, D., Tellado, S. (2009). A Study of Extracting Knowledge from Guideline Documents. In: Moreno-Díaz, R., Pichler, F., Quesada-Arencibia, A. (eds) Computer Aided Systems Theory - EUROCAST 2009. EUROCAST 2009. Lecture Notes in Computer Science, vol 5717. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04772-5_26
Download citation
DOI: https://doi.org/10.1007/978-3-642-04772-5_26
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-04771-8
Online ISBN: 978-3-642-04772-5
eBook Packages: Computer ScienceComputer Science (R0)