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논문 기본 정보

자료유형
학술대회자료
저자정보
Zaya Sukhbat (Soonchunhyang University) Jaewon Choi (Soonchunhyang University)
저널정보
한국경영과학회 한국경영과학회 학술대회논문집 한국경영과학회 2018년 추계학술대회 및 정기총회
발행연도
2018.10
수록면
612 - 617 (6page)

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초록· 키워드

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The healthcare industry has experienced much progress in data management and analysis. This includes more than a decade in the large-scale digitization of medical records, as well as the aggregation of research and development in electronic form. In addition, governments have also accelerated the move towards transparency, making stored data more accessible to the industry as a whole. Big data technologies have already made some impact in fields related to healthcare: medical diagnosis from imaging data in medicine, quantifying lifestyle data in the fitness industry, to mention a few. Although there is already a huge amount of healthcare data around the world and while it is growing at an exponential rate, nearly all of the data is stored in individual silos. Medical research has always been a data-driven science, with randomized clinical trials being a gold standard in many cases. However, due to recent advances in omics-technologies, medical imaging, comprehensive electronic health records, and smart devices, medica lresearch as well as clinical practice are quickly changing into “Bigdata-driven” fields.

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Abstract
1. Introduction
2. Literature review
3. Research Framework
4. Conclusion
References

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UCI(KEPA) : I410-ECN-0101-2019-325-000161703