Abstract
Several computer-based approaches to Clinical Guidelines have been developed in the last two decades. However, only recently the community has started to cope with the fact that Clinical Guidelines are just a part of the medical knowledge that physicians have to take into account when treating patients. The procedural knowledge in the guidelines have to be complemented by additional declarative medical knowledge. In this paper, we analyse such an interaction, by studying the conformance problem, defined as evaluating the adherence of a set of performed clinical actions w.r.t. the behaviour recommended by the guideline and by the medical knowledge.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Alberti, M., Chesani, F., Gavanelli, M., Lamma, E., Mello, P., Torroni, P.: Verifiable agent interaction in abductive logic programming: the SCIFF framework. ACM Transactions on Computational Logics 9(4) (2008)
Hommersom, A., Groot, P., Lucas, P.J.F., Balser, M., Schmitt, J.: Verification of medical guidelines using background knowledge in task networks. IEEE Transactions on Knowledge and Data Engineering 19(6), 832–846 (2007)
Ly, L.T., Rinderle, S., Dadam, P.: Integration and verification of semantic constraints in adaptive process management systems. Data Knowl. Eng. 64(1), 3–23 (2008)
Field, M.J., Lohr, K.N. (eds.): Clinical Practice Guidelines: Directions for a New Program, Institute of Medicine, Washington, DC. National Academy Press (1990)
Mulyar, N., Pesic, M., van der Aalst, W.M.P., Peleg, M.: Declarative and procedural approaches for modelling clinical guidelines: Addressing flexibility issues. In: ter Hofstede, A.H.M., Benatallah, B., Paik, H.-Y. (eds.) BPM Workshops 2007. LNCS, vol. 4928, pp. 335–346. Springer, Heidelberg (2008)
Peleg, M., Tu, S., Bury, J., Ciccarese, P., Jones, N., 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. JAMIA 10(1) (2003)
Shiffman, R.N.: Representation of clinical practice guidelines in conventional and augmented decision tables. J. Am. Med. Inform. Assoc. 4(5), 382–393 (1997)
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. IOS Press, Amsterdam (2008)
Terenziani, P., Montani, S., Bottrighi, A., Molino, G., Torchio, M.: Applying Artificial Intelligence to Clinical Guidelines: the GLARE Approach. In: Teije, et al. (eds.) [8], vol. 139 (July 2008)
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
Bottrighi, A. et al. (2009). A Hybrid Approach to Clinical Guideline and to Basic Medical Knowledge Conformance. In: Combi, C., Shahar, Y., Abu-Hanna, A. (eds) Artificial Intelligence in Medicine. AIME 2009. Lecture Notes in Computer Science(), vol 5651. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02976-9_12
Download citation
DOI: https://doi.org/10.1007/978-3-642-02976-9_12
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-02975-2
Online ISBN: 978-3-642-02976-9
eBook Packages: Computer ScienceComputer Science (R0)