Data Science in Physical Medicine and Rehabilitation Opportunities and Challenges

被引：11
|
作者：
Ottenbacher, Kenneth J. [1 ]
Graham, James E. [2 ]
Fisher, Steve R. [3 ]
机构：
[1] Univ Texas Med Branch, Div Rehabil Sci, 301 Univ Blvd,Route 1137, Galveston, TX 77555 USA
[2] Colorado State Univ, Dept Occupat Therapy, Ctr Community Partnerships, 320 Occupat Therapy Bldg, Ft Collins, CO 80523 USA
[3] Univ Texas Med Branch, Dept Phys Therapy, 301 Univ Blvd,Route 1144, Galveston, TX 77555 USA
来源：
PHYSICAL MEDICINE AND REHABILITATION CLINICS OF NORTH AMERICA | 2019年 / 30卷 / 02期
基金：
美国国家卫生研究院;
关键词：
Data science; Big data; Data networks; Rehabilitation science; Outcomes; BIG DATA; HEALTH; FUTURE; ERA;
D O I：
10.1016/j.pmr.2018.12.003
中图分类号：
R49 [康复医学];
学科分类号：
100215 ;
摘要：
The biomedical scientific community is in the midst of a significant expansion in how data are used to accomplish the important goals of reducing disability and improving health care. Data science is the academic discipline emerging from this expansion. Data science reflects a new approach to the acquisition, storage, analysis, and interpretation of scientific knowledge. The potential benefits of data science are transforming biomedical research and will lead physical medicine and rehabilitation in exciting new directions. Understanding this transformation will require modifying and expanding the education, training, and research infrastructure that support rehabilitation science and practice.
引用
收藏
页码：459 / +
页数：14
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