Data Science in Physical Medicine and Rehabilitation: Opportunities and Challenges

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


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.

Publication types

  • Research Support, N.I.H., Extramural
  • Review

MeSH terms

  • Data Science* / methods
  • Humans
  • Information Dissemination
  • Physical Therapy Modalities*
  • Physical and Rehabilitation Medicine / methods
  • Rehabilitation* / methods