Abstract
One of the hardest tasks in any healthcare application is the management of knowledge. Organisational information as well as medical concepts should be represented in an appropriate way in order to improve interoperability among existing systems, to allow the implementation of knowledge-based intelligent systems, or to provide high level support to healthcare professionals. This paper proposes the inclusion of an especially designed ontology into an agent-based medical platform called HeCaSe2. The ontology has been constructed as an external resource, allowing agents to coordinate complex activities defined in any clinical guideline.
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
Quaglini, S., Stefanelli, M., Cavallini, A., Micieli, G., Fassino, C., Mossa, C.: Guideline-based careflow systems. Artif Intell Med 20, 5–22 (2000)
Kumar, A., Quaglini, S., Stefanelli, M., Ciccarese, P., Caffi, E.: Modular representation of the guideline text: An approach for maintaining and updating the content of medical education. Medical Informatics and the Internet in Medicine 28, 99–115 (2003)
Kumar, A., Ciccarese, P., Smith, B., Piazza, M.: Context-Based Task Ontologies for Clinical Guidelines. In: Pisanelli, D.M. (ed.) Ontologies in Medicine. Studies in Health Technology and Informatics, vol. 102, pp. 81–94. IOS Press, Amsterdam (2004)
Serban, R., Teije, A.t., Harmelen, F.v., Marcos, M., Polo-Conde, C.: Extraction and use of linguistic patterns for modelling medical guidelines. AI in Medicine 39, 137–149 (2007)
Ciccarese, P., Caffi, E., Boiocchi, L., Quaglini, S., Stefanelli, M.: A Guideline Management System. In: Fieschi, M., Coiera, E., Li, Y.-C.J. (eds.) 11th World Congress on Medical Informatics, MedInfo 2004, San Francisco, USA. Studies in Health Technology and Informatics, vol. 107, pp. 28–32. IOS Press, Amsterdam (2004)
Davis, J.P., Blanco, R.: Analysis and Architecture of Clinical Workflow Systems using Agent-Oriented Lifecycle Models. In: Silverman, B.G., Jain, A., Ichalkaranje, A., Jain, L.C. (eds.) Intelligent Paradigms for Healthcare Enterprises. Studies in Fuzziness and Soft Computing, vol. 184, pp. 67–119. Springer, Heidelberg (2005)
Isern, D., Moreno, A.: Distributed guideline-based health care system. In: 4th International Conference on Intelligent Systems Design and Applications (ISDA-2004), Budapest, Hungary, pp. 145–150. IEEE Press, Orlando (2004)
Isern, D., Valls, A., Moreno, A.: Using aggregation operators to personalize agent-based medical services. In: Gabrys, B., Howlett, R.J., Jain, L.C. (eds.) KES 2006. LNCS (LNAI), vol. 4252, pp. 1256–1263. Springer, Heidelberg (2006)
Neches, R., Richard, F., Finin, T., Gruber, T., Patil, R., Senator, T., Swartout, W.: Enabling Technology for Knowledge Sharing. AI Magazine 12, 36–56 (1991)
McGuinness, D., Harmelen, F.v.: OWL Web Ontology Language (2004)
Noy, N.F., McGuinness, D.L.: Ontology Development 101: A Guide to Creating Your First Ontology. Technical Report SMI-2001-0880, Stanford Medical Informatics (2001)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2007 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Isern, D., Sànchez, D., Moreno, A. (2007). An Ontology-Driven Agent-Based Clinical Guideline Execution Engine. In: Bellazzi, R., Abu-Hanna, A., Hunter, J. (eds) Artificial Intelligence in Medicine. AIME 2007. Lecture Notes in Computer Science(), vol 4594. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73599-1_6
Download citation
DOI: https://doi.org/10.1007/978-3-540-73599-1_6
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-73598-4
Online ISBN: 978-3-540-73599-1
eBook Packages: Computer ScienceComputer Science (R0)