The Transactions of The Korean Institute of Electrical Engineers (전기학회논문지)

The Korean Institute of Electrical Engineers (대한전기학회)
권호 표지
DOI QR코드

DOI QR Code

Mapping Tool for Semantic Interoperability of Clinical Terms

임상용어의 의미적 상호운영성을 위한 매핑 도구

  • 이인근 (경북대학교 의료정보학과) ;
  • 홍성정 (경북대학교 간호대학 간호학과) ;
  • 조훈 (경북대학교 의과대학 의료정보학과) ;
  • 김화선 (경북대학교 의과대학 의료정보학과)
  • Received : 2010.10.16
  • Accepted : 2010.12.14
  • Published : 2011.01.01
Download PDF
⟨ Previous Next ⟩

Abstract

Most of the terminologies used in medical domain is not intended to be applied directly in clinical setting but is developed to integrate the terms by defining the reference terminology or concept relations between the terms. Therefore, it is needed to develop the subsets of the terminology which classify categories properly for the purpose of use and extract and organize terms with high utility based on the classified categories in order to utilize the clinical terms conveniently as well as efficiently. Moreover, it is also necessary to develop and upgrade the terminology constantly to meet user's new demand by changing or correcting the system. This study has developed a mapping tool that allows accurate expression and interpretation of clinical terms used for medical records in electronic medical records system and can furthermore secure semantic interoperability among the terms used in the medical information model and generate common terms as well. The system is designed to execute both 1:1 and N:M mapping between the concepts of terms at a time and search for and compare various terms at a time, too. Also, in order to enhance work consistency and work reliability between the task performers, it allows work in parallel and the observation of work processes. Since it is developed with Java, it adds new terms in the form of plug-in to be used. It also reinforce database access security with Remote Method Invocation (RMI). This research still has tasks to be done such as complementing and refining and also establishing management procedures for registered data. However, it will be effectively used to reduce the time and expenses to generate terms in each of the medical institutions and improve the quality of medicine by providing consistent concepts and representative terms for the terminologies used for medical records and inducing proper selection of the terms according to their meaning.

Keywords

References

  1. J.J. Cimino, V.L. Patel, and A.W. Kushniruk, "Studying the human-computer-terminology interface," J Am Med Inform Assoc, vol. 8, no. 2, pp. 163-173, 2001. https://doi.org/10.1136/jamia.2001.0080163
  2. J.H. Yun, M.J. Kim, SJ. Ahn, M.S. Kwak, Y. Kim, H.K. Kim, "The Development of Clinical Terminlology Dectionalry for Integration and Management of Clinical Terminologies in EMR Systems," J Kor Soc Med Infromaics, vol. 15, no. 4, pp 411-421, 2009. https://doi.org/10.4258/jksmi.2009.15.4.411
  3. H. Gu, M. Halper, J. Geller, and Y. Perl, "Benefits of an object-oriented database representation for controlled medical terminologies," J Am Med Inform Assoc, vol. 6, no. 4, pp. 283-303, 1999. https://doi.org/10.1136/jamia.1999.0060283
  4. K. Donnelly, "SNOMED-CT: The advanced terminology and coding system for eHealth," Stud Health Technol Inform, vol. 121, pp. 279-90, 2006.
  5. K. Giannangelo and L. Berkowitz, "SNOMED CT helps drive EHR success," J Ahima, vol. 76, pp. 66-7, 2005.
  6. M. Karthikeyan, S. Krishnan, A. K. Pandey, A. Bender, and A. Tropsha, "Distributed chemical computing using ChemStar: an open source java remote method invocation architecture applied to large scale molecular data from PubChem," J Chem Inf Model, vol. 48, pp. 691-703, 2008. https://doi.org/10.1021/ci700334f
  7. SNOMED CT, available at:http://www.ihtsdo.org.
  8. ICD-9-CM, available at:http://icd9cm.chrisendres.com/.
  9. CPT, available at:http://www.ama-assn.org/ama/pub/ physician-resources/solutions-managing-your-practice/ coding-billing-insurance/cpt.shtml.
  10. ABC, available at:http://www.abccodes.com/ali/products_services/pro_description.asp.
  11. NANDA, available at:http://www.nanda.org.
  12. NIC, available at:http://www.nursing.uiowa.edu/excel-lence/nursing_knowledge/clinical_effectiveness/nic.htm.
  13. NOC, available at: http://www.nursing.uiowa.edu/exc-ellence/nursing_knowledge/clinical_effectiveness/noc.h-tm.
  14. CCC, available at:www.sabacare.com.
  15. Omahs System, available at:www.omahasystem.org.
  16. CliniClue Xplore, availabel at:http://www.cliniclue.com /cliniclue_xplore.
  17. G. Wade and S. T. Rosenbloom, "Experiences mapping a legacy interface terminology to SNOMED CT," BMC Med Inform Decis Mak, vol. 8 Suppl 1, pp. S3, 2008. https://doi.org/10.1186/1472-6947-8-S1-S3
  18. A. L. Osornio, D. Luna, M. L. Gambarte, A. Gomez, G. Reynoso, and F. G. de Quiros, "Creation of a local interface terminology to SNOMED CT," Stud Health Technol Inform, vol. 129, pp. 765-9, 2007.
  19. F. W. Lee, "Evolution of computer-based information systems and networks to support integrated health care delivery systems," Top Health Inf Manage, vol. 17, no. 4, pp. 1-10, 1997.
  20. D. E. Oliver and Y. Shahar, "Development of a change model for a controlled medical vocabulary," Proc AMIA Annu Fall Symp, pp. 605-9, 1997.
  21. S. T. Rosenbloom, R. A. Miller, K. B. Johnson, P. L. Elkin, and S. H. Brown, "Interface terminologies: facilitating direct entry of clinical data into electronic health record systems," J Am Med Inform Assoc, vol. 13, pp. 277-88, 2006. https://doi.org/10.1197/jamia.M1957
  22. R. A. Rocha, S. M. Huff, P. J. Haug, and H. R. Warner, "Designing a controlled medical vocabulary server: the VOSER project," Comput Biomed Res, vol. 27, no.6, pp. 472-507, 1994. https://doi.org/10.1006/cbmr.1994.1035
  23. J. J. Cimino, "From data to knowledge through concept-oriented terminologies: experience with the Medical Entities Dictionary," J Am Med Inform Assoc, vol. 7, pp. 288-97, 2000. https://doi.org/10.1136/jamia.2000.0070288