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Phys Med Rehabil Clin N Am. 2019 May;30(2):459-471. doi: 10.1016/j.pmr.2018.12.003. Epub 2019 Mar 2.

Data Science in Physical Medicine and Rehabilitation: Opportunities and Challenges.

Author information

1
Division of Rehabilitation Sciences, University of Texas Medical Branch, 301 University Boulevard, Route 1137, Galveston, TX 77555-1137, USA. Electronic address: kottenba@utmb.edu.
2
Department of Occupational Therapy, Center for Community Partnerships, Colorado State University, 320 Occupational Therapy Building, Fort Collins, CO 80523-1573, USA.
3
Department of Physical Therapy, University of Texas Medical Branch, 301 University Boulevard, Route 1144, Galveston, TX 77555-1144, USA.

Abstract

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.

KEYWORDS:

Big data; Data networks; Data science; Outcomes; Rehabilitation science

PMID:
30954159
DOI:
10.1016/j.pmr.2018.12.003
[Indexed for MEDLINE]

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