Data Science in Physical Medicine and Rehabilitation: Opportunities and Challenges

Kenneth J. Ottenbacher, James E. Graham, Steve R. Fisher

Research output: Contribution to journalReview articlepeer-review

16 Scopus citations


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.

Original languageEnglish (US)
Pages (from-to)459-471
Number of pages13
JournalPhysical Medicine and Rehabilitation Clinics of North America
Issue number2
StatePublished - May 2019


  • Big data
  • Data networks
  • Data science
  • Outcomes
  • Rehabilitation science

ASJC Scopus subject areas

  • Physical Therapy, Sports Therapy and Rehabilitation
  • Rehabilitation


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