Abstract
Computer Interpretable Guidelines (CIG) have largely contributed to the simplification and dissemination of clinical guidelines. However, the formalization of CIG contents, especially care actions, is still an open issue. Actually, this information, which is the heart of the guideline, is still expressed as free text and therefore prevents the development of intelligent tools for assisting physicians defining treatments. In this paper, we introduce a framework for formalizing care actions using natural language processing techniques, Semantic Web technologies and medical standards.
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., Keren, S., Denekamp, Y.: Mapping Computerized Clinical Guidelines to Electronic Medical Records: Knowledge-Data Ontological Mapper (KDOM). Journal of Biomedical Informatics 41, 180–201 (2008)
Essaihi, A., Michel, G., Shiffman, R.N.: Comprehensive Categorization of Guideline Recommendations: Creating an Action Palette for Implementers. In: Proc. AMIA Symp. (American Medical Informatics Association), Washington D.C., pp. 220–224 (2003)
Serban, R., ten Teije, A., van Harmelen, F., Marcos, M., Polo-Conde, C.: Extraction and use of linguistic patterns for modelling medical guidelines. Artif. Intell. Med. 39, 137–149 (2007)
Bonacin, R., Da Silveira, M., Pruski, C.: From Medical Guidelines to Personalized Careflows: the iCareflow Ontological Framework. In: The 23rd IEEE International Symposium on Computer-Based Medical Systems. IEEE Computer Society, Perth (2010)
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, 151–163 (2007)
Beard, N., Campbel, J.R., Huff, S.M., Leon, M., Mansfield, J.G., Mays, E., McClay, J.C., Mohr, D.N., Musen, M.A., O’Brien, D., Rocha, R.A., Saulovich, A., Scheitel, S.M., Tu, S.W.: Standards-Based Sharable Active Guideline Environment (SAGE): A Project to Develop a Universal Framework for Encoding and Disseminating Electronic Clinical Practice Guidelines. In: Proc. AMIA Symp., p. 973 (2002)
Fox, J., Johns, N., Rahmanzadeh, A.: Disseminating medical knowledge: The PROforma approach. Artificial Intelligence in Medicine 14, 157–181 (1998)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Pruski, C., Bonacin, R., Da Silveira, M. (2011). Towards the Formalization of Guidelines Care Actions Using Patterns and Semantic Web Technologies. In: Peleg, M., Lavrač, N., Combi, C. (eds) Artificial Intelligence in Medicine. AIME 2011. Lecture Notes in Computer Science(), vol 6747. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22218-4_38
Download citation
DOI: https://doi.org/10.1007/978-3-642-22218-4_38
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-22217-7
Online ISBN: 978-3-642-22218-4
eBook Packages: Computer ScienceComputer Science (R0)