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http://dx.doi.org/10.9708/jksci.2020.25.04.149

Healthcare service analysis using big data  

Park, Arum (Big Data Research Center, Kyung Hee University)
Song, Jaemin (Big Data Research Center, Kyung Hee University)
Lee, Sae Bom (Big Data Research Center, Kyung Hee University)
Abstract
In the Fourth Industrial Revolution, successful cases using big data in various industries are reported. This paper examines cases that successfully use big data in the medical industry to develop the service and draws implications in value that big data create. The related work introduces big data technology in the medical field and cases of eight innovative service in the big data service are explained. In the introduction, the overall structure of the study is mentioned by describing the background and direction of this study. In the literature study, we explain the definition and concept of big data, and the use of big data in the medical industry. Next, this study describes the several cases, such as technologies using national health information and personal genetic information for the study of diseases, personal health services using personal biometric information, use of medical data for efficiency of business processes, and medical big data for the development of new medicines. In the conclusion, we intend to provide direction for the academic and business implications of this study, as well as how the results of the study can help the domestic medical industry.
Keywords
Bigdata analysis; Healthcare service; Fourth industrial revolution; Case study; Innovation;
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  • Reference
1 IBM, "2014 IBM Health and Social Programs Summit", 2014
2 Statista, "Global healthcare big data market size in 2016 and a forecast for 2025", 2018
3 NIPA, "Global Healthcare Market", 2019
4 M.Y. Kang, and D.H. Park, "The Age of Smart Healthcare, Prepare for the Data War", Issue Monitor, Samjong KPMG, 2018.
5 A. De Mauro, M. Greco, and M. Grimaldi, "A formal definition of Big Data based on its essential features," Library Review, Vol. 65, No. 3, pp. 122-135, 2016. DOI: 10.1108/LR-06-2015-0061   DOI
6 J. Manika, et al. "Big data: The next frontier for innovation, competition. and productivity," Technical report, McKinsey Global Institute, Vol. 7, 2011. http://www.mckinsey.com/Insights/MGI/Research/Technology_and_Innovation/Big_data_The_next_frontier_for_innovation.
7 K. Jung, "Utilizing Big Data In Arts & Culture Welfare Services," The Korean Journal of Arts Studies, Vol. 25, pp. 5-28, May. 2019. DOI: 10.20976/kjas.2019..25.001   DOI
8 H. Yoon, "Research on the Application Methods of Big Data within the Cultural Industry," The Journal of Global Cultural Contents, pp.157-179, Feb. 2013.
9 N. H. Shah and J. D. Tenenbaum, "Focus on translational bioinformatics: The coming age of data-driven medicine: translational bioinformatics' next frontier," Journal of the American Medical Informatics Association, Vol. 19(e1), 2011. doi: 10.1136/amiajnl-2012-000969
10 Y. Song, Y. Kang, "Utilization and Prospects of Healthcare Big Data in the Fourth Industrial Revolution," Journal of Korea Multimedia, Vol. 21, No. 4, Dec. 2017.
11 S. Shin, "Current status and new research direction for healthcare big data in Korea," Communications of the Korean Institute of Information Scientists and Engineers, Vol. 35, No. 3, pp. 16-19, May. 2017.
12 N. Mehta., and A. Pandit, "Concurrence of Big Data Analytics and Healthcare: A Systematic Review", International Journal of Medical Informatics, Vol. 114. pp. 57-65, 2018.   DOI
13 M. Park, S. Han, "Health Care and Genetic Big Data Utilization and Research Trends for Realizing Precision Medicine," Industrial Engineering Magazine, Vol. 23, No, 3, pp. 31-37, Oct. 2016.
14 D. Gu., J. Li., X. Li., and C. Liang. "Visualizing the Knowledge Structure and Evolution of Gig Data Research in Healthcare Informatics", International Journal of Medical Informatics, Vol. 98, pp. 22-32, 2017.   DOI
15 Y. Wang., L.A. Kung., and T. A. Byrd., "Big Data Analytics: Understanding Its Capabilites and Potential Benefits for Healthcare Organizations", Technological Forecasting & Social Change, Vol. 126, pp. 3-13, 2018.   DOI
16 A. Shastri, and M. Deshpande, "A Review of Big Data and Its Application in Healthcare and Public Sector", Big Data Analytics in Healthcare, October, pp. 55-66, 2019.
17 Lunit, Perfecting intelligence, transformingmedicine, Lunit homeoage, lunit.io
18 Noom homepage, https://noom.co.kr
19 E. Lee, Roche acquired bigdata analysis platform for cancel 'Flatiron' Biospectator, http://www.biospectator.com/view/news_view.php?varAtcId=5027&fbclid=IwAR0LNc0rtCMPv6SYSHvx24A_GP90A-95lgKjJVyo29S9TRUsi18yY-803fc
20 DBR Case Study, NOOM, 2019.07, https://dbr.donga.com/article/view/1203/article_no/9212
21 Noom Blog, https://m.blog.naver.com/noomkr/221186291860
22 Biobeats homepage, https://www.Biobeats.com
23 Crunchbase, https://www.crunchbase.com/organization/biobeats
24 DB Insurance Co. Ltd Blog, http://blog.idbins.com/919
25 Kirontech, https://www.kirontech.com/
26 S. Kim, Development of new drugs utilizing AI, Newdailybiz, http://biz.newdaily.co.kr/site/data/html/2019/01/07/2019010700199.html
27 J. Jang, FDA appoved cenobamate of SK biopharm, Biospectator,http://www.biospectator.com/view/news_view.php?varAtcId=8953
28 SK biopharm, Cenobamate of SK biopharm, Bio NewJersey Association Innovator Award, SK biopharm homepage,https://www.skbp.com/kor/news/view.do?boardSeq=473&boardCode=BDCD0002
29 Y. Ji, "IBM, New Drug Development Blueprints Using Watson,"http://www.mdtoday.co.kr/mdtoday/index.html?no=315267