Challenges and Opportunities for Occupational Therapy in Big Data Research

• 영문명: Challenges and Opportunities for Occupational Therapy in Big Data Research
• 발행기관: 대한작업치료학회
• 저자명: Ickpyo Hong Meredith F. Shields Riqiea Kitchens Karen Ratcliff Timothy A. Reistetter
• 간행물 정보: 『대한작업치료학회지』제27권 제4호, 155~165쪽, 전체 11쪽
• 주제분류: 의약학 > 의학일반
• 파일형태: PDF
• 발행일자: 2019.12.31

영문 초록

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

목차

Ⅰ. Introduction

Ⅱ. Big Data Comparisons between Korea and the United States

Ⅲ. Research Areas

Ⅳ. Statistical Methods in Big Data Research

Ⅴ. Applications in Occupational Therapy

Ⅵ. Workforce Development in Big Data Research

Ⅶ. Conclusion

References

키워드

Big data Health workforce Occupational therapy Rehabilitation