International Journal of Medical Informatics
Volume 79, Issue 9 , Pages 611-622 , September 2010

Design and implementation of a standards-based interoperable clinical decision support architecture in the context of the Korean EHR

  • InSook Cho

      Affiliations

    • Inha University, Department of Nursing, Incheon, South Korea
    • Corresponding Author InformationCorresponding author. Tel.: +82 32 7608201; fax: +82 32 8745880.
  • ,
  • JeongAh Kim

      Affiliations

    • Kwandong University, College of Computer Education, Gangneung Si, South Korea
  • ,
  • Ji Hyun Kim

      Affiliations

    • Center for Interoperable EHR, Seoul National University, College of Medicine, Seoul, South Korea
  • ,
  • Hyun Young Kim

      Affiliations

    • Eulji University, Department of Nursing, Daejeon, South Korea
  • ,
  • Yoon Kim

      Affiliations

    • Center for Interoperable EHR, Seoul National University, College of Medicine, Seoul, South Korea
    • Institute of Health Policy and Management, Seoul National University Medical Research Center, South Korea

Received 4 December 2009 ,Revised 5 June 2010 ,Accepted 5 June 2010.

References 

  1. Institute of Medicine Committee on Quality of Health Care in America . Crossing the Quality Chasm: A New Health System for the 21st Century. Washington, DC: National Academy Press; 2001;
  2. Institute of Medicine Committee on Quality of Health Care in America . Patient Safety: Achieving a New Standard of Care. Washington, DC: National Academy Press; 2003;
  3. Zhou L, Soran CS, Jenter CA, Volk LA, Orav EJ, Bates DW, et al. The relationship between electronic health records and quality of care over time. J. Am. Med. Inform. Assoc. 2009;16(4):457–464
  4. Greenes RA. A proposed strategy for overcoming inertia. In:  Greenes R editors. Clinical Decision Support: The Road Ahead. Boston, MA: Academic Press; 2007;
  5. Sohn YD, Lee JH, Oh BJ, Kim W, Lim KS. The early experience of the implementation of the drug allergy alert system at Asan Medical Center. J. Korean Soc. Med. Inform. 2006;12(2):133–140
  6. Seoul National University Hospital . In: Symposium on the EMR system of BESTCare 2008 of Seoul National University Hospital: Next Generation EMR. Seoul. 2008;
  7. Kim Y, Cho I, Seo JW, Kim IK, Kim HG, Choi Y. Research and development efforts aimed at implementing electronic health record systems with interoperability and patient safety. J. Korean Soc. Med. Inform. 2006;12(2):115–132
  8. Osheroff JA, Teich JM, Middleton B, Steen EB, Wright A, Detmer DE. A roadmap for national action on clinical decision support. J. Am. Med. Inform. Assoc. 2007;14(2):141–145
  9. Kawamoto K, Lobach DF. Proposal for fulfilling strategic objectives of the U.S. Roadmap for national action on clinical decision support through a service-oriented architecture leveraging HL7 services. J. Am. Med. Inform. Assoc. 2007;14(2):146–155
  10. Greenes RA, Sordo M, Zaccagnini D, Meyer M, Kuperman GJ. Design of a standards-based external rules engine for decision support in a variety of application contexts: report of a feasibility study at Partners HealthCare System. In:  Fieschi M, et al. editor. Medinfo2004. San Francisco, CA: ISO Press; 2004;p. 611–615
  11. Huang Y, Noirot LA, Heard KM, Reichley RM, Cunagan WC, Bailey TC. Migrating toward a next-generation clinical decision support application: the BJC HealthCare Experience. In:  Teich JM, et al. editor. Proceedings of the Annual Symposium of the American Medical Informatics Association. Chicago, IL: Ominpress; 2007;p. 344–348
  12. Osheroff J, Pifer E, Teich JM, Sittng DF, Jenders RA. Improving Outcomes with Clinical Decision Support: An Implementer's Guide. Healthcare Information and Management Systems Society; 2005;
  13. de Clercq PA, Blom JA, Korsten HH, Hasman A. Approaches for creating computer-interpretable guidelines that facilitate decision support. Artif. Intell. Med. 2004;31(1):1–27
  14. Karadimas HC, Chailloeau C, Hemery F, Simonnet J, Lepage E. Arden/J: an architecture for MLM execution on the Java platform. J. Am. Med. Inform. Assoc. 2002;9(4):359–368
  15. Ram P, Berg D, Tu SW, Ye Q, Abarbanel RM, Beard N. Executing clinical practice guidelines using the SAGE execution engine. In:  Fieschi M, et al. editor. Medinfo2004. San Francisco, CA: ISO Press; 2004;p. 251–255
  16. Reichley RM, Seaton TL, Resetar E, Micek ST, Scott KL, Fraser VJ, et al. Implementing a commercial rule base as a medication order safety net. J. Am. Med. Inform. Assoc. 2005;12(4):383–389
  17. The Korean Society of Hypertension . 2004 Korean Hypertension Treatment Guidelines. Seoul: The Korean Society of Hypertension; 2004;
  18. Whitworth JA, World Health Organization , International Society of Hypertension Writing Group . 2003 World Health Organization/International Society of Hypertension statement on management of hypertension. J. Hypertens. 2003;21(11):1983–1992
  19. European Society of Hypertension-European Society of Cardiology Guidelines Committee . 2003 European Society of Hypertension-European Society of Cardiology guidelines for the management of arterial hypertension. J. Hypertens. 2003;21(6):1011–1053
  20. Chobanian AV, Bakris GL, Black HR, Cushman WC, Green LA, Izzo JL, et al. The National High Blood Pressure Education Program Coordinating Committee, The Seventh Report of the Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure. Bethesda, MD: NIH; 2004;
  21. Noy N, Crubezy M, Fergerson R, Knublauch H, Tu SW, Vendetti J, et al. Protege-2000: an open-source ontology-development and knowledge-acquisition environment. In: Proceedings of the Annual Symposium of the American Medical Informatics Association. San Diego, CA. 2004;p. 953
  22. Kim J, Cho I, Kim Y. Clinical decision support service architecture for EHR perspectives in KOREA. In: Proceedings of the Annual Symposium of the American Medical Informatics Association. Washington, DC. 2008;p. 1007
  23. Kim J, Cho I, Kim Y. Knowledge translation of SAGE-based guidelines for executing with knowledge engine. In: Proceedings of the Annual Symposium of the American Medical Informatics Association. Washington, DC. 2008;p. 1008
  24. Kim HY, Cho I, Lee JH, Kim JH, Kim Y. Concept representation of decision logic for hypertension management using SNOMED CT. J. Korean Soc. Med. Inform. 2008;14(4):1–9
  25. Johnson PD, Tu SW, Musen MA, Purves IA. A virtual medical record for guideline-based decision support. In: Proceedings of the Annual Symposium of the American Medical Informatics Association. La Jolla, CA. 2001;p. 294–298
  26. Jenders RA, Osheroff JA, Sitting DF, Pifer EA, Teich JM. Recommendations for clinical decision support deployment: synthesis of a roundtable of medical directors of information systems. In: Proceedings of the Annual Symposium of the American Medical Informatics Association. Chicago, IL. 2007;p. 359–363
  27. Choi K, Hwang S, Koo HK, Cho YM, Lee ES, Lee S, et al. Development of renal dosing system at a university hospital. J. Korean Soc. Med. Inform. 2008;14(4):373–385
  28. Park H-I, Min W-K, Lee W, Park H, Park CJ, Choi M, et al. Evaluating the short message service alerting system for critical value notification via PDS telephones. Ann. Clin. Lab. Sci. 2008;38(2):149–156
  29. Tu SW, Campbell JR, Glasgow J, Nyman MA, McClure R, McClay J, et al. The SAGE guideline model: achievements and overview. J. Am. Med. Inform. Assoc. 2007;14(5):589–598

PII: S1386-5056(10)00113-9

doi: 10.1016/j.ijmedinf.2010.06.002

International Journal of Medical Informatics
Volume 79, Issue 9 , Pages 611-622 , September 2010