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- 저자 : 석웅 ( Seok W. ) (검색결과 2 건)
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윤원숙 ( Yoon W. S. ),석웅 ( Seok W. ),이순영 ( Lee S. Y. ),황점숙 ( Hwang J. S. ),안은경 ( Ann E. G. ),최민선 ( Choi M. S. ),이종희 ( Lee J. H. ) 국군의무사령부 2016 대한군진의학학술지 Vol.47 No.1
Objectives: This study aims to provide epidemiological baseline data of ROK military women’s health status and to identify and prioritize their health problems. Methods: Internet based web survey was done with a 131-item-questionnaire. A total of 2068 subjects from army, navy, air-force, and marine-corps participated. To analyze the data, descriptive statistics was done utilizing SPSS Ver.20. Results: 62.2% of the participants perceived their health status positively. Most frequent health problems were anemia(28.2%), chronic rhinitis(25%), allergies(21.5), urinary tract infection, and hemorrhoids(11.6% each). Life satisfaction was 3.63±.77 at 5-point scale. 8.9% were depressed and 4.9% had suicide ideation. Average BMI was 21.7 and obesity rate was 9.0%. Current smoking rate was 2.9% and high-risk alcohol use rate was 2.5%. Most common obstetric issues were premenstrual syndrome(59.1%) and menstrual pain(46%). 55% of the participants answered ‘didn’t take pop smear test ever’ or ‘don’t know when the test was done’. 80% of the subjects didn’t perform breast-self-exam and 69.5% had never learned about it. Conclusions: Major issues and baseline data on military women’s health status were identified. The study results grant the necessity of policy development and further research for combat strength and readiness of military women.
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김영아 ( Kim Y. A. ),석웅 ( Bg Seok W. ),서지원 ( Seo J. W. ),황점숙 ( Hwang J. S. ),김정길 ( Kim J. G. ),한광일 ( Han G. I. ),오진섭 ( Oh J. S. ),이한준 ( Lee H. J. ) 국군의무사령부 2017 대한군진의학학술지 Vol.48 No.1
Objectives: This Study aims to identifying the application areas of big data in military healthcare and the preceding subjects for its introduction Methods: Various prior studies and related cases of domestic and foreign healthcare organization are reviewed to identify benchmarking elements for the introduction of big data in military healthcare. Results: This study suggests possible areas for big data introduction in military healthcare. They are prediction of disease, forecast of infectious disease outbreak, optimizing use of medical resources, improvement of responsiveness and accuracy of care, enhancement of medical personnel, medicine, medical equipment and evacuation materials and support analytical data for military medical research. Also, as the preceding subjects for the introduction of big data, data quality management, securing professional workforce and organization, and culture for data-based decision making are suggested. Conclusions: The significance of this study is that it presents possible areas for big data introduction in military healthcare and considerations for its successful introduction.
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