Will Semantic Web Technologies Work for the Development of ICD-11?
- 1k Downloads
The World Health Organization is beginning to use Semantic Web technologies in the development of the 11th revision of the International Classification of Diseases (ICD-11). Health officials use ICD in all United Nations member countries to compile basic health statistics, to monitor health-related spending, and to inform policy makers. While previous revisions of ICD encoded minimal information about a disease, and were mainly published as books and tabulation lists, the creators of ICD-11 envision that it will become a multi-purpose and coherent classification ready for electronic health records. Most important, they plan to have ICD-11 applied for a much broader variety of uses than previous revisions. The new requirements entail significant changes in the way we represent disease information, as well as in the technologies and processes that we use to acquire the new content. In this paper, we describe the previous processes and technologies used for developing ICD. We then describe the requirements for the new development process and present the Semantic Web technologies that we use for ICD-11. We outline the experiences of the domain experts using the software system that we implemented using Semantic Web technologies. We then discuss the benefits and challenges in following this approach and conclude with lessons learned from this experience.
KeywordsDomain Expert Electronic Health Record Content Model Beta Phase Access Policy
- 2.Brooke, J.: Usability evaluation in industry. In: Jordan, P.W., et al. (eds.) SUS: a ’quick and dirty’ usability scale, pp. 184–194. Taylor & Francis, Abington (1996)Google Scholar
- 3.Israel, R.A.: The International Classification of Disease. Two Hundred Years of Development. Public Health Rep. 93(2), 150–152 (1978)Google Scholar
- 5.Noy, N.F., Chugh, A., Liu, W., Musen, M.A.: A framework for ontology evolution in collaborative environments. In: Cruz, I., Decker, S., Allemang, D., Preist, C., Schwabe, D., Mika, P., Uschold, M., Aroyo, L.M. (eds.) ISWC 2006. LNCS, vol. 4273, pp. 544–558. Springer, Heidelberg (2006)CrossRefGoogle Scholar
- 6.Noy, N.F., Shah, N.H., Whetzel, P.L., Dai, B., Dorf, M., Griffith, N., Jonquet, C., Rubin, D.L., Storey, M.-A., Chute, C.G., Musen, M.A.: BioPortal: ontologies and integrated data resources at the click of a mouse. Nucleic Acids Research, 10.1093/nar/gkp440 (2009)Google Scholar
- 7.Tu, S.W., et al.: A content model for the ICD-11 revision. Technical Report BMIR-2010-1405, Stanford Center for Biomedical Informatics Research (2010)Google Scholar
- 9.Tudorache, T., Vendetti, J., Noy, N.: WebProtege: A lightweight OWL ontology editor for the Web. In: OWL: Experiences and Directions, 5th Intl. Workshop, OWLED 2008, Karlsruhe, Germany (2008)Google Scholar
- 10.World Health Organization: Collaborating Centres for the WHO Family of International Classifications (WHO-FIC), http://www.who.int/classifications/network/collaborating/ (last accessed: June 2010)
- 11.World Health Organization: International Classification of Diseases (ICD), http://www.who.int/classifications/icd/ (last accessed: June 2010)