- Development and Adoption of a LOINC Mapping Algorithm
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Kim SY, Kim HH, Lee EY, Chang CL, Kim HS, Cho H
- KMID: 2211301
- J Korean Soc Med Inform.
- 2008 Jun;14(2):123-135.
OBJECTIVES: LOINC(R)(Logical Observations Identifiers, Names, Codes) is being used as the global standard for sharing laboratory test information and standardization. However, difficulties have been encountered in transferring local code to... -
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- Proposed Algorithm with Standard Terminologies (SNOMED and CPT) for Automated Generation of Medical Bills for Laboratory Tests
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Kim SY, Kim HH, Lee IK, Kim HS, Cho H
- KMID: 2284531
- Healthc Inform Res.
- 2010 Sep;16(3):185-190.
- doi: 10.4258/hir.2010.16.3.185
OBJECTIVES: In this study, we proposed an algorithm for mapping standard terminologies for the automated generation of medical bills. As the Korean and American structures of health insurance claim codes... -
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- Standardization of Terminology in Laboratory Medicine I
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Yoon SY, Yoon JH, Min WK, Lim HS, Song J, Chae SL, Lee CK, Kwon JA, Lee KN
- KMID: 1781476
- Korean J Lab Med.
- 2007 Apr;27(2):151-155.
- doi: 10.3343/kjlm.2007.27.2.151
BACKGROUND: Standardization of medical terminology is essential for data transmission between health-care institutions or clinical laboratories and for maximizing the benefits of information technology. Purpose of our study was... -
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- Standardization of Terminology in Laboratory Medicine ll
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Lee KN, Yoon JH, Min WK, Lim HS, Song J, Chae SL, Jang S, Ki CS, Bae SY, Kim JS, Kwon JA, Lee CK, Yoon SY
- KMID: 1785834
- J Korean Med Sci.
- 2008 Aug;23(4):711-713.
- doi: 10.3346/jkms.2008.23.4.711
Standardization of medical terminology is essential in data transmission between health care institutes and in maximizing the benefits of information technology. The purpose of this study was to standardize medical... -
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- Development of an Integrated Biospecimen Database among the Regional Biobanks in Korea
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Park HS, Cho H, Kim HS
- KMID: 2166953
- Healthc Inform Res.
- 2016 Apr;22(2):129-141.
- doi: 10.4258/hir.2016.22.2.129
OBJECTIVES: This study developed an integrated database for 15 regional biobanks that provides large quantities of high-quality bio-data to researchers to be used for the prevention of disease, for the... -
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