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KMID : 0603920190270040155
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Journal of Korean Academy of Occupational Therapy
2019 Volume.27 No. 4 p.155 ~ p.165
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Challenges and Opportunities for Occupational Therapy in Big Data Research
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Hong Ick-Pyo
Shields Meredith F.
Lee Mi-Jung
Kitchen Riqiea
Ratcliff Karen
Reistetter Timothy A.
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Abstract
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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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KEYWORD
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Big data, Health workforce, Occupational therapy, Rehabilitation
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FullTexts / Linksout information
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