Journal of the Korea Society of Computer and Information (한국컴퓨터정보학회논문지)

Korean Society of Computer Information (한국컴퓨터정보학회)
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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)
  • Received : 2020.03.06
  • Accepted : 2020.03.24
  • Published : 2020.04.29
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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.

4차산업 혁명으로 다양한 산업분야에서 빅데이터 기술을 성공적으로 활용하여 경영성과를 얻은 사례들이 보고되고 있다. 본 논문은 의료산업에서 빅데이터를 성공적으로 활용한 혁신 사례들 살펴보고 어떤 데이터가 어떠한 목적으로 활용되고 있으며 이러한 빅데이터가 어떤 가치를 창출하는지 시사점을 도출하고자 하였다. 서론에서는 본 연구의 배경과 방향에 대해 기술하여 연구의 전체적인 구조를 파악하고자 하였다. 문헌 연구에서는 빅데이터의 정의 및 개념과 빅데이터 연구와 관련된 내용, 그리고 의료 산업에서의 빅데이터의 활용과 관련된 내용을 설명하고자 하였다. 본문에서는 질병연구를 위해 국민건강정보와 개인유전정보를 활용한 기술, 개인의 생체정보를 활용하여 개인 건강 서비스, 기업의 업무 프로세스 효율화를 위해 기업이 확보하고 있는 지식 데이터와 전자의무기록 정보를 활용한 사례, 그리고 신약개발을 위해 의료빅데이터 활용 사례 등을 서술하였다. 결론에서는 본 연구의 학문적, 비즈니스적 시사도출과 함께 연구의 성과가 국내 의료산업에 어떠한 도움을 줄 수 있는지 방향성을 제시하고자 하였다.

Keywords

References

  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
  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
  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. 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.
  10. 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
  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. 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.
  13. 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. https://doi.org/10.1016/j.ijmedinf.2016.11.006
  14. 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. https://doi.org/10.1016/j.techfore.2015.12.019
  15. 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. https://doi.org/10.1016/j.ijmedinf.2018.03.013
  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. 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
  19. DBR Case Study, NOOM, 2019.07, https://dbr.donga.com/article/view/1203/article_no/9212
  20. Noom homepage, https://noom.co.kr
  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