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기사명 저자명 페이지 원문 목차
단국대학교병원 EHR 기반 MOA CDM 구축을 위한 용어 매핑 사례와 시사점 = The Case and Implications of Terminology Mapping for Development of Dankook University Hospital EHR-Based MOA CDM 노미정, 부유경, 송시현, 박지환 p. 1-18
의료기관 신입직원 멘토링프로그램 사례연구 = Case Study of New Employee Mentoring Program at Hospital A : A병원을 중심으로 한지영, 최종일 p. 19-31
병원간호사의 긍정심리자본과 역할갈등이 환자안전역량에 미치는 영향 = Effects of positive psychological capital and role conflict of hospital nurses on patient safety competencies 오은화, 고유경 p. 32-45
고령층 1인 가구 여부와 미충족의료의 연관성 = Association between single-person households in the elderly and unmet medical need 구본희, 김민수, 이현지, 김재현 p. 46-55
전문과별 전공의 지원율과 의사소득, 비급여율 간의 상관관계 = Correlation between application rates for specialized majors and physician income and non-benefit percentage 나영균, 정은영 p. 56-63
연령에 따른 헬스 리터러시(HL) 수준과 관련 요인 파악 = Identifying health literacy levels and related factors focusing on age 정재연, 지희정 p. 64-75

참고문헌 (37건) : 자료제공( 네이버학술정보 )

참고문헌 목록에 대한 테이블로 번호, 참고문헌, 국회도서관 소장유무로 구성되어 있습니다.
번호 참고문헌 국회도서관 소장유무
1 Jeong C, Kang Y, Park Y. Automation System for Sharing CDM Data. Journal of Platform Technology 2020;8(3):3-9. 미소장
2 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. 미소장
3 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. 미소장
4 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. 미소장
5 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. 미소장
6 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. 미소장
7 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. 미소장
8 Lee S. Common Data Model for Medical Big Data Analytics. Information and Communications Planning and Evaluation Institute, Weekly ICT Trends 2018;1878:14-24. 미소장
9 MOA Net background webpage Available from https://moa.drugsafe.or.kr/cs/biz/background 미소장
10 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. 미소장
11 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. 미소장
12 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. 미소장
13 Statistics Korea. Korean Standard Classification of Disease(KCD). 7th Revision. Seoul:Statistics Korea:2015. 미소장
14 Statistics Korea. Korean Standard Classification of Disease(KCD). 8th Revision. Seoul:Statistics Korea:2020. 미소장
15 World Health Organization. ICD-10: International Statistical Classification of Diseases and Related Health Problems. Tenth Revision. Geneva:World Health Organization:2004. 미소장
16 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# 미소장
17 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. 미소장
18 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. 미소장
19 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. 미소장
20 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. 미소장
21 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. 미소장
22 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. 미소장
23 MOA Net Organization webpage Available from https://moa.drugsafe.or.kr/cs/biz/concert Organization 미소장
24 Usagi github webpage Available from https://github.com/OHDSI/Usagi 미소장
25 ATHENA. https://athena.ohdsi.org/search-terms/start 미소장
26 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 미소장
27 Korea Institute of Drug Safety & Risk Management. MOA Medical Record Observation & Assessment for Drug Safety. https://www.drugsafe. or.kr/ko/index.do 미소장
28 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). 미소장
29 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. 미소장
30 Korean Health Information Service. Healthcare Terminology Standard and SNOMED-CT Mapping Guide. 2021. https://www.hins.or.kr/termMapping/kostomMappingList.es?mid=a11301040000 미소장
31 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. 미소장
32 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. 미소장
33 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. 미소장
34 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. 미소장
35 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. 미소장
36 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. 미소장
37 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. 미소장

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