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자료유형
학술저널
저자정보
홍익표 (Dept. of Occupational Therapy University of Texas Medical Branch) Meredith F. Shields (Dept. of Occupational Therapy University of Texas Medical Branch) Mi Jung Lee (Dept. of Occupational Therapy University of Florida) Riqiea Kitchens (Dept. of Occupational Therapy University of Texas Medical Branch) Karen Ratcliff (Dept. of Occupational Therapy University of Texas Medical Branch) Timothy A. Reistetter (Dept. of Occupational Therapy School of Health Professions University of Texas Health Science Cente) 홍익표 (Dept. of Occupational Therapy University of Texas Medical Branch)
저널정보
대한작업치료학회 대한작업치료학회지 대한작업치료학회지 제27권 제4호
발행연도
2019.1
수록면
155 - 165 (11page)

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The advance of information technology with governmental support allows researchers to utilize big data to conductrigorous rehabilitation-related studies in both the United States and Korea. While big data research has beenactively conducted in the United States, few Korean rehabilitation scientists currently conduct big data research. Inthis paper, we discuss the existing rehabilitation-related big data in Korea and introduce the current big dataresearch trends in the United States. In addition, we provide potential research areas by discussing the previousbig data studies in the United States, including 1) functional outcomes, 2) geographical variation, 3) linkage of apopulation-based cohort to hospital data, 4) cross-national comparison, and 5) scale development. We also discussvarious statistical methods required in big data research and compare how these methods differ compared to thetraditional research methods in rehabilitation research. Lastly, we discuss the importance of workforce developmentin rehabilitation-related big data research. We hope this paper will provide occupational therapy scientists andclinicians with practical and useful information about big data research and accelerate big data rehabilitationresearch communities in Korea.

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