과제정보
이 연구는 2022년도, 2024년 한국의약품안전관리원 용역 사업비 지원으로 연구되었음.
참고문헌
- Jeong C, Kang Y, Park Y. Automation System for Sharing CDM Data. Journal of Platform Technology 2020;8(3):3-9. https://doi.org/10.23023/JPT.2020.8.3.003
- Kim H, Jung E, Kang H, Park D. Data Mapping and Development Guideline for PHR System Establishment Using CDM. Journal of KIIT 2016;14(1):133-141. https://doi.org/10.14801/jkiit.2016.14.1.133
- Lenert L, Ilatovskiy A, Agnew J, Rudisill P, Jacobs J, Weatherston D, et al. Automated production of research data marts from a canonical fast healthcare interoperability resource data repository: applications to COVID-19 research. Journal of the American Medical Informatics association 2021;28(8):1605-1611. https://doi.org/10.1093/jamia/ocab108
- Papez V, Moinat M, Voss E, Bazakou S, Winzum A, Peviani A, et al. Transforming and evaluating the UK Biobank to the OMOP Common Data Model for COVD-19 research and beyond. Journal of the American Medical Informatics Association 2023;30(1):103-111. https://doi.org/10.1093/jamia/ocac203
- Park R, You S. Cases of Applications of CDM in the Healthcare and Future Utilization Plan. Health Insurance Review & Assessment Service 2018;2(4):5-18.
- Choi W, Yang Y, Chang D, Chung Y, Kim H, Ko S, et al. Association between the use of allopurinol and risk of increased thyroid-stimulating hormone level. Scientific Reports 2021;11(1):1-10. https://doi.org/10.1038/s41598-021-98954-1
- Park R. The Distributed Research Network, Observational Health Data Sciences and Informatics, and the South Korean Research Network. The Korean Journal of Medicine 2019;94(4):309-314. https://doi.org/10.3904/kjm.2019.94.4.309
- Lee S. Common Data Model for Medical Big Data Analytics. Information and Communications Planning and Evaluation Institute, Weekly ICT Trends 2018;1878:14-24.
- MOA Net background webpage Available from https://moa.drugsafe.or.kr/cs/biz/background
- Son N, Kim B, Chung S, Han S. Korean Pharmacovigilance System Based on EHR-CDM. Studies in health technology and informatics 2019;264:1592-1593.
- Ahn Y, Cho H. A Study on Clinical Decision Support System based on Common Data Model. Journal of the Korean Convergence Society 2019;10(11):117-124.
- Ko S, Park S, Chang D. Experience of Converting Clinical Data Warehouse to Common Data Model and Additional Data Loading. Health Insurance Review & Assessment Service Research 2021;1(2):179-195.
- Statistics Korea. Korean Standard Classification of Disease(KCD). 7th Revision. Seoul:Statistics Korea:2015.
- Statistics Korea. Korean Standard Classification of Disease(KCD). 8th Revision. Seoul:Statistics Korea:2020.
- World Health Organization. ICD-10: International Statistical Classification of Diseases and Related Health Problems. Tenth Revision. Geneva:World Health Organization:2004.
- Statistics Korea. Korean Standard Classification of Disease [Internet]. Statistics Korea [cited 2023 Feb 20]. Available from https://kssc.kostat.go.kr:8443/ksscNew_web/index.jsp#
- Ryu W. Effective Scheme for Comparative Search of Clinical Terms from Standard Clinical Terminology. Journal of the Korea Institute of Information and Communication Engineering 2015;19(3):537-542. https://doi.org/10.6109/JKIICE.2015.19.3.537
- Kim S, Kim H, Shin K, Kim H, Lee J, Choi B. Comparison of Knowledge Levels Required for SNOMED CT Coding of Diagnosis and Operation Names in Clinical Records. Healthcare Informatics Research 2012;18(3):186-190. https://doi.org/10.4258/hir.2012.18.3.186
- Ahn H, Park Y. An Automatic LOINC Mapping Framework for Standardization of Laboratory Codes in Medical Informatics. Journal of Korea Multimedia Society 2009;12(8):1172-1181.
- Jung B, Kim J, Cho C, Kim J, Nam M, Shin B, et al. Report on the Project for Establishment of the Standardized Korean Laboratory Terminology Database, 2015. Journal of Korean Medical Science 2017;32(4):695-699. https://doi.org/10.3346/jkms.2017.32.4.695
- Hwang E, Park H, Sohn S, Lee H, Choi H, Ha S, et al. Mapping Korean EDI Medical Procedure Code to SNOMED CT. Studies in health technology and informatics. 2019;264:178-182.
- Seong Y, You S, Ostropolets A, Rho Y, Park J, Cho J, et al. Incorporation of Korean Electronic Data Interchange Vocabulary into Observational Medical Outcome Partnership Vocabulary. Healthcare Informatics Research 2021;27(1):29-38. https://doi.org/10.4258/hir.2021.27.1.29
- MOA Net Organization webpage Available from https://moa.drugsafe.or.kr/cs/biz/concertOrganization
- Usagi github webpage Available from https://github.com/OHDSI/Usagi
- ATHENA. https://athena.ohdsi.org/search-terms/start
- Healthcare Information Standard. KCD-SNOMED CT Mapping Table [Internet]. Healthcare Information Standard [cited 2023 Mar 9]. Available from https://www.hins.or.kr/termMapping/kcdMappingList.es?mid=a11301020000
- Korea Institute of Drug Safety & Risk Management. MOA Medical Record Observation & Assessment for Drug Safety. https://www.drugsafe.or.kr/ko/index.do
- Soo Jeong Ko Sang Jun Park, Dong-Jin Chang Experience of Converting Clinical Data Warehouse to Common Data Model and Additional Data Loading. HIRA RESEARCH. 2021;1(2):179-195 (2021). https://doi.org/10.52937/hira.21.1.2.179
- Schneeweiss, S., Brown, J. S., Bate, A., Trifiro, G., & Bartels, D. B.. Choosing among common data models for real world data analyses fit for making decisions about the effectiveness of medical products. Clinical Pharmacology & Therapeutics 2020; 107(4): 827-833.
- Korean Health Information Service. Healthcare Terminology Standard and SNOMED-CT Mapping Guide. 2021. https://www.hins.or.kr/termMapping/kostomMappingList.es?mid=a11301040000
- Kang B, Yoon J, Kim H, Jo S, Lee Y, Kam H. Deep-learning-based automated terminology mapping in OMOP-CDM. Journal of the American Medical Informatics Association 2021;28(7):1489-1496. https://doi.org/10.1093/jamia/ocab030
- Rho M. Development and Lessons Learned of Clinical Data Warehouse based on Common Data Model for Drug Surveillance. Korean Society of Hospital Management 2023;28(3): 1-14.
- Kim H, Jung E, Park D. Study on HIPPA PHI application method to protect personal medical information in OMOP CDM construction. Korean Institute of Next Generation Computing 2017;13(6):66-76. https://doi.org/10.7840/kics.2015.41.1.66
- Kim S. Analyzing Primary Treatment Pattern Trends for Helicobacter pylori Infection Using a Commom Data Model. The Korean Journal of Helicobacter and Upper Gastrointestinal Research 2022;22(3):171-174. https://doi.org/10.7704/kjhugr.2022.0026
- Lee M, Choi K, Suh H. A Prediction Model for Surveillance Patients of Liver Cancer using Common Data Model and Machine Learning. Journal of Korean Academy of Managed Care Pharmacy 2022;10(1):4-13.
- Cho Y, Lee E, Her E, Hwang G, Lim K, Noh J, et al. Association Between Suicide Risk and Comorbidity of Mood Disorder and Alcohol Use Disorder: Using Data Model in Psychiatry. Journal of Korean Neuropsychiatric Association 2021;60(3):232-239. https://doi.org/10.4306/jknpa.2021.60.3.232
- Park J, Lee, J Moon M, Park Y, Rho M. Cancer Research Line (CAREL): Development of Expanded Distributed Research Networks for Prostate Cancer and Lung Cancer. Technology in Cancer Research & Treatment 2023; 22:15330338221149262.