ABSTRACT
Hospitals can supply clinical decision support systems with electronic healthcare record provided by different users and stored in different computer systems. This way, during a diagnosis decision a user can be supported by a remote knowledge database constructed by other users, like, for instance, a reference specialist discussion board. Usually, medical applications scenarios like this use different terminology systems leading to terminological interoperability problems. Still, clinical applications frequently make use of different clinical ontology systems that do not provide semantic types necessary to create a structure to carry shared knowledge database. The lack of this semantic types brings ontology interoperability problems which difficult the support of collaborative clinical decision-making. This paper presents a UMLS interoperable solution to promote clinical applications development intended to contribute with collaborative diagnosis decision, in a distributed computer environment based on service-oriented architecture. This paper still presents a case study to demonstrate DDSOnt usability through the development of a system prototype integrated to a collaborative and multimedia communication distance-learning environment.
- S. Achour, M. Dojat, C. Rieux, P. Bierling, and E. Lepage. A UMLS-based Knowledge Acquisition Tool for Rule-based Clinical Decision Support System Development. Journal of American Medical Informatics Association, 8(4):351--360, 2001.Google ScholarCross Ref
- I. Bilykh, J. Jahnke, G. McCallum, and M. Price. Using the Clinical Document Architecture as Open Data Exchange Format for Interfacing EMRs with Clinical Decision Support Systems. In Proceedings of the 19th IEEE International Symposium on Computer-Based Medical Systems, volume 1, pages 855--860, Salt Lake City, USA, 2006. IEEE. Google ScholarDigital Library
- O. Bodenreider. The Unified Medical Language System (UMLS): integrating biomedical terminology. Oxford Journal. Nucleic Acids Research, 32(1):D267-D270, 2004.Google ScholarCross Ref
- Browne, McCray, and Srinivasan. The specialist lexicon. In Proceedings of the Lister Hill National Center for Biomedical Communications, volume 1, page 1, Bethesda, 2000. National Library of Medicine.Google Scholar
- R. Cote, D. Rothwell, J. Palotay, R. Beckett, and L. Brochu. The Systematized Nomenclature of Human and Veterinary Medicine: SNOMED International. Northfield, IL: College of American Pathologists, 1993.Google Scholar
- S. Graham, D. Davis, and S. e. a. Simeonov. Building Web Services with Java: Making Sense of XML, SOAP, WSDL, and UDDI. Sams Publishing, 2005. Google ScholarDigital Library
- Hripcsak, G. and Ludemann, P. and Pryor, T. A. and Wigertz, O. B. and Clayton, P. D. Rationale for the Arden Syntax. Computers in Biomedical Research, 27(4):291--324, 1994. Google ScholarDigital Library
- R. Jenders, R. Corman, and B. Dasgupta. Making the standard more standard: a data and query model for knowledge representation in the Arden Syntax. In Proceedings of the AMIA Annual Symposium, volume 1, pages 323--330, Washington, USA, 2003. AMIA.Google Scholar
- C. E. Lipscomb. Medical Subject Headings (MeSH). Journal of the Medical Library Association, 88(3):265--266, 2000.Google Scholar
- N. Noy and D. L. McGuinness. Ontology Development 101 - A guide to creating your first ontology. KSL Technical Report. Stanford University, 2001.Google Scholar
- D. F. Pires. Uma Solucao Interoperavel, Baseada na UMLS, para Apoiar a Decisao Diagnostica Colaborativa na Web. Dr. Thesis. DFM-FFCLRP-USP, 2007.Google ScholarCross Ref
- A. Rector and A. Glowinski. Medical-concept models and medical records: An approach based on GALEN and PENPAD. Journal of American Medical Informatics Association, 2(1):19--35, 1995.Google ScholarCross Ref
- P. L. Schuyler, W. T. Hole, M. S. Tuttle, and D. D. Sherertz Liu. The UMLS Metathesaurus: representing different views of biomedical concepts. Journal of the Medical Library Association, 2(81):217--222, 1993.Google Scholar
- B. Smith, A. Kumar, and S. Schulze-Kremer. Revising the UMLS Semantic Network. In Proceedings of the MedInfo, volume 1, page 1700, Amsterdam, 2004. IO Press.Google Scholar
Index Terms
- A UMLS interoperable solution to support collaborative diagnosis decision making over the internet
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