지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
이용수
초록· 키워드
오류제보하기
Objectives : There is a need to develop a data quality management algorithm to improve the quality of healthcare data using a data quality management system. In this study, we developed a data quality control algorithms associated with diseases related to hypertension in patients with diabetes mellitus. Methods : To make a data quality algorithm, we extracted the 2011 and 2012 discharge damage survey data from diabetes mellitus patients. Derived variables were created using the primary diagnosis, diagnostic unit, primary surgery and treatment, minor surgery and treatment items. Results : Significant factors in diabetes mellitus patients with hypertension were sex, age, ischemic heart disease, and diagnostic ultrasound of the heart. Depending on the decision tree results, we found four groups with extreme values for diabetes accompanying hypertension patients. Conclusions : There is a need to check the actual data contained in the Outlier (extreme value) groups to improve the quality of the data.
목차
등록된 정보가 없습니다.
참고문헌 (18)
참고문헌 신청
M. G. Kim / 2013 / Healthcare Big Data Industry Forecast and competitiveness directions
T. M. Song / 2013 / Big data Trends and Utilization of Health & Welfare in Korea / Science and Technology Policy Institute 23(3):56~73
Medical Record Institute / 2002 / HEALTHCARE DOCUMENTATION: A REPORT ON INFORMATION CAPTURE AND REPORT GENERATION :11~14
W.W. Eckerson / 2002 / Data Quality and the Bottom Line: Achieving Business Success Through a Commitment to High Quality Data
http://www.informationweek.com/healthcare/clinical-information-systems/poor-data-manageme nt-costs-healthcare-providers/d/d-id/1105481?
T. M. Song / 2013 / Big data Trends and Utilization of Health & Welfare in Korea / Science and Technology Policy Institute 23(3):56~73
Medical Record Institute / 2002 / HEALTHCARE DOCUMENTATION: A REPORT ON INFORMATION CAPTURE AND REPORT GENERATION :11~14
W.W. Eckerson / 2002 / Data Quality and the Bottom Line: Achieving Business Success Through a Commitment to High Quality Data
http://www.informationweek.com/healthcare/clinical-information-systems/poor-data-manageme nt-costs-healthcare-providers/d/d-id/1105481?
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