TOWARDS A SEMANTIC SYSTEM FOR MANAGING CLINICAL PROCESSES

Ermelinda Oro, Massimo Ruffolo

2009

Abstract

Managing costs and risks is an high priority theme for health care professionals and providers. A promising approach for reducing costs and risks, and enhancing patient safety, is the definition of process-oriented clinical information systems. In the area of health care information systems, a number of systems and approaches to medical knowledge and clinical processes representation and management are available. But no systems that provide integrated approaches to both declarative and procedural medical knowledge are currently available. In this work a clinical process management system aimed at supporting a semantic process-centered vision of health care practices is described. The system is founded on an ontology-based clinical knowledge representation framework that allows representing and managing, in a unified way, both medical knowledge and clinical processes. The system provides functionalities for: (i) designing clinical processes by exploiting already existing and ad-hoc medical ontologies and guideline base; (ii) executing clinical processes and monitoring their evolution by adopting alerting techniques that aid to prevent risks and errors; (iii) analyzing clinical processes by semantic querying and data mining techniques for making available decision support features able to contain risks and to enhance cost control and patient safety.

References

  1. CCAM. Classification Commune des Actes Médicaux (CCAM). http://www.ccam.sante.fr/. Current Procedural Terminology (CPT): A Registered trademark of the American Medical Association (AMA). http://www.amaassn.org/ama/pub/category/3113.html.
  2. Eiter, T., Gottlob, G., and Mannila, H. (1997). Disjunctive Datalog. ACM Transactions on Database Systems, 22(3):364-418.
  3. HL7. Health Level Seven (HL7). http://www.hl7.org/. International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM).
  4. http://www.cdc.gov/nchs/about/otheract/icd9/icd10cm.htm.
  5. Kawamoto, K. and Lobach, D. F. (2005). Design, implementation, use, and preliminary evaluation of sebastian, a standards-based web service for clinical decision support. In AMIA Symp., pages 380-4.
  6. Leone, N., Pfeifer, G., Faber, W., Eiter, T., Gottlob, G., Perri, S., and Scarcello, F. (2006). The dlv system for knowledge representation and reasoning. ACM Trans. Comput. Logic, 7(3):499-562.
  7. MESH. Medical Subject headings (MeSH). http:// www.nlm.nih.gov/mesh/2008/index.html.
  8. Musen, M. A., Tu, S. W., Das, A. K., and Shahar, Y. (1996). Eon: A component-based approach to automation of protocol-directed therapy. Journal of the American Medical Informatics Association, 3(6):367-388.
  9. OPCS-4. The Office of Population Censuses and Surveys Classification of Surgical Operations and Procedures, 4th Revision (OPCS-4). http://www.openclinical.org/medTermOPCS4.html.
  10. Peleg, M., Ogunyemi, O., Tu, S., Boxwala, A. A., Zeng, Q., Greenes, R. A., and Shortliffe, E. H. (2001). Using features of arden syntax with object-oriented medical data models for guideline modeling. In in American Medical Informatics Association (AMIA) Annual Symposium, 2001, pages 523-527.
  11. Pryor, T. A. and Hripcsak, G. (1993). The arden syntax for medical logic modules. Journal of Clinical Monitoring and Computing, 10(4):215-224.
  12. Ricca, F. and Leone, N. (2007). Disjunctive logic programming with types and objects: The dlv+ system. J. Applied Logic, 5(3):545-573.
  13. Sackett, D. L., Rosenberg, W. M. C., Gray, M. J. A., Haynes, B. R., and Richardson, S. W. (1996). Evidence based medicine: what it is and what it isn't. BMJ, 312(7023):71-72.
  14. Séroussi, B., Bouaud, J., Dréau, H., Falcoff, H., Riou, C., Joubert, M., Simon, C., Simon, G., and Venot, A. (2001). Asti: A guideline-based drug-ordering system for primary care. MEDINFO.
  15. Shahar, Y., Young, O., Shalom, E., Mayaffit, A., Moskovitch, R., Hessing, A., and Galperin, M. (2003). Degel: A hybrid, multiple-ontology framework for specification and retrieval of clinical guidelines. In AIME, pages 122-131.
  16. Sutton, D. R. and Fox, J. (2003). The syntax and semantics of the proforma guideline modeling language. JAMIA, 10(5):433-443.
Download


Paper Citation


in Harvard Style

Oro E. and Ruffolo M. (2009). TOWARDS A SEMANTIC SYSTEM FOR MANAGING CLINICAL PROCESSES . In Proceedings of the 11th International Conference on Enterprise Information Systems - Volume 2: ICEIS, ISBN 978-989-8111-85-2, pages 180-187. DOI: 10.5220/0001994401800187


in Bibtex Style

@conference{iceis09,
author={Ermelinda Oro and Massimo Ruffolo},
title={TOWARDS A SEMANTIC SYSTEM FOR MANAGING CLINICAL PROCESSES},
booktitle={Proceedings of the 11th International Conference on Enterprise Information Systems - Volume 2: ICEIS,},
year={2009},
pages={180-187},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001994401800187},
isbn={978-989-8111-85-2},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 11th International Conference on Enterprise Information Systems - Volume 2: ICEIS,
TI - TOWARDS A SEMANTIC SYSTEM FOR MANAGING CLINICAL PROCESSES
SN - 978-989-8111-85-2
AU - Oro E.
AU - Ruffolo M.
PY - 2009
SP - 180
EP - 187
DO - 10.5220/0001994401800187