Medical Application of Big Data: Between Systematic Review and Randomized Controlled Trials

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초록

In terms of medical health, we are currently living in the era of data science, which has brought tremendous change. Big data related to healthcare includes medical data, genome data, and lifelog data. Among medical data, public medical data is very important for actual research and medical policy reflection because it has data on a large number of patients and is representative. However, there are many difficulties in actually using such public health big data and designing a study, and conducting systematic review (SR) on the research topic can help a lot in the methodology. In this review, in addition to the importance of research using big data for the public interest, we will introduce important public medical big data in Korea and show how SR can be specifically applied in research using public medical big data.

키워드

big dataevidence-based medicinesystematic reviewmeta-analysisrandomized controlled trialMETAANALYSISPROMISEISSUES
제목
Medical Application of Big Data: Between Systematic Review and Randomized Controlled Trials
저자
Shim, Sung RyulLee, Joon-HoKim, Jae Heon
DOI
10.3390/app13169260
발행일
2023-08
유형
Review
저널명
Applied Sciences-basel
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