DOI QR코드

DOI QR Code

Design and Development of a System for Mapping of Medical Standard Terminologies

표준 의학 용어체계의 매핑을 위한 시스템의 설계 및 개발

  • 이인근 (경북대학교 의료정보학과) ;
  • 김화선 (대구한의대학교 IT의료산업학과) ;
  • 조훈 (경북대학교 의료정보학과)
  • Received : 2010.12.09
  • Accepted : 2011.03.30
  • Published : 2011.04.25

Abstract

Various standard terminologies in medical field are composed individually to different structure. Therefore, information on crosswalking between the terminologies is needed to combine and use the terminologies. Lots of mapping tools have been developed and used to create the information. However, since those tools deal with specific terminologies, the information is restrictly created. To overcome this problem, some tools have been developed, which perform mapping tasks by composing various terminologies. However, the tools also have difficulty of composing automatically the terminologies because the terminologies have different structures. Therefore, in this paper, we propose a method for composing and using the terminologies in the developed mapping system with keeping the original structure of the terminologies. In the proposed method, additional terminologies could be added on the mapping system and used by making metadata involving information on location and structure of the terminologies. And the mapping system could cope flexibly with the changes of the structure or context of the terminologies. Moreover, various types of mapping information could be defined and created in the system because mapping data are constructed as triplets in ontology. Therefore, the mapping data can be transformed and distributed in different formats such as OWL, RDF, and Excel. Finally, we confirmed the usefulness of the mapping system based on the proposed method through the experiments about creating mapping data.

의학 분야에서의 다양한 표준 용어체계는 각기 다른 형태로 구성되어 있다. 따라서 이들을 통합하여 활용하기 위해서는 용어체계 사이의 연결 정보가 필요하다. 이를 위해 여러 통합 도구들이 개발되어 사용되고 있으나, 이들 도구들은 특정 용어 체계에 국한하기 때문에, 매핑 데이터의 생성 범위가 제약적이다. 이를 극복하기 위해 여러 용어체계를 통합하여 매핑작업을 수행할 수 있는 도구도 개발되었다. 그러나 의학용어체계는 각각 독특한 형태로 구성되어 있어 이들의 획일적인 통합이 어려운 문제가 있다. 따라서 본 논문에서는 기존용어체계의 형태를 유지하면서 매핑 시스템에서의 통합 및 활용이 가능한 방법을 제안한다. 제안한 방법에서는 용어체계의 위치와 형태에 대한 메타데이터를 작성함으로써 새로운 용어체계를 쉽게 시스템에 추가하여 사용할 수 있도록 하였으며, 기존 용어체계의 수정 및 구조 변경에도 유동적으로 대처할 수 있다. 또한 본 논문에서 생성한 매핑 데이터는 온톨로지에서의 트리플릿 형태로 구성함으로써 다양한 매핑 정보를 생성할 수 있다. 따라서 생성한 정보는 OWL, RDF, Excel 등의 다양한 형태로 변형하여 배포할 수 있다. 제안한 방법에 기반하여 매핑 시스템을 이용한 매핑 데이터 생성 실험을 통해 개발한 시스템의 효용성을 확인하였다.

Keywords

References

  1. 김용욱, Essential Elements of EHR System, 군자출판사, 2006.
  2. “HL7”, Available: http://www.hl7.org, [Accessed: October 2, 2010]
  3. “SNOMED CT”, Available: http://www.ihtsdo.org, [Accessed: November 5, 2010]
  4. “ICD-9-CM”, Available: http://icd9cm.chrisendres.com, [Accessed: November 5, 2010]
  5. “CPT”, Available: http://www.ama-assn.org/ama/pub/physician-resources/solutions-managing-your-practice/coding-billing-insurance/cpt.shtml, [Accessed: November 5, 2010]
  6. “ABC”, Available: http://www.abccodes.com/ali/products_services/pro_description.asp, [Accessed: November 5, 2010]
  7. “NANDA”, Available: http://www.nanda.org, [Accessed: November 5, 2010]
  8. “NIC”, Available: http://www.nursing.uiowa.edu/excellence/nursing_knowledge/clinical_effectiveness/nic.htm, [Accessed: November 5, 2010]
  9. “NOC”, Available: http://www.nursing.uiowa.edu/excellence/nursing_knowledge/clinical_effectiveness/noc.htm, [Accessed: November 5, 2010]
  10. “CCC”, Available: www.sabacare.com, [Accessed: November 5, 2010]
  11. “Omaha System”, Available: http://www.omahasystem.org, [Accessed: November 5, 2010]
  12. “LOINC”, http://loinc.org, [Accessed: November 5, 2010]
  13. G. Wade and S.T. Rosenbloom, “Experiences mapping a legacy interface terminology to SNOMED CT,” BMC MedInform Decis Mak, vol. 8, no. 1, p. S3, 2008. https://doi.org/10.1186/1472-6947-8-S1-S3
  14. 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,” Studies in Health Technology and Informatics, vol. 129, pp. 765-769, 2007.
  15. National Library of Medicine (US), “LOINC to CPT Mapping,” Available: http://www.nlm.nih.gov/research/umls/mapping_projects/loinc_to_cpt_map.html, 2006, [Accessed: November 10, 2010]
  16. S.Y. Kim, H.H. Kim, I.K. Lee, H.S. Kim, and H. Cho, “Proposed Algorithm with Standard Terminologies(SNOMED and CPT) for Automated Generation of Medical Bill for Laboratory Tests,” Healthcare Informatics Research, vol. 16, no. 3, pp. 185-190, 2010. https://doi.org/10.4258/hir.2010.16.3.185
  17. M. Johnson, G. Bulechek, H. Butcher, J.M. Dochterman, M. Maas, S. Moorhead, and E. Swanson, NANDA, NOC, and NIC Linkages, Mosby, 2006.
  18. Wasserman Medical Publishers, “Cross Coder,” Available: http://www.crosscoder.com, [Accessed: December 3, 2010]
  19. J. Pathak, H.R. Solbrig, J.D. Buntrock, T.M. Johnson, and C.G. Chute, “LexGrid: A Framework for Representing, Storing, and Querying Biomedical Termilologies from Simple to Sublime,” Journal of the American Medical Informatics Association, vol. 16, no. 3, pp. 305-315, 2009. https://doi.org/10.1197/jamia.M3006
  20. Mayo Clinic, “LexGrid”, Available: http://www.lexgrid.org/LexGrid, [Accessed: November 26, 2010]
  21. J.-A Yang, S.-J. Nam, J.-H. Choi, S.-J. Koh, and H.-G. Kim, “LexCare WS-A Web Services Based Platform for Medical Terminologies management,” 2010 대한의료정보학회 추계학술대회 포스터 초록집, p. 5, 2010.
  22. Center for Interoperable EHR, “LexCare Suite,” http://ehrkorea.org/experience/lexcare.aspx, [Accessed: November 26, 2010]
  23. “CliniClue Xplore”, Available: http://www.cliniclue.com/cliniclue_xplore, [Accessed: November 26, 2010]
  24. I.K. Lee, H.S. Kim, S.J. Hong, and H. Cho, “Development of a System for Construction of Linking Information between Concepts in Medical Terminologies,” 2010 대한의료정보학회 추계학술대회 포스터 초록집, p. 6, 2010.
  25. “Object Identifier Repository”, Available: http://www.oid-info.com, [Accessed: November 26, 2010]