Data Science in Physical Medicine and Rehabilitation: Opportunities and Challenges

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

doi:10.1016/j.pmr.2018.12.003

Data Science in Physical Medicine and Rehabilitation: Opportunities and Challenges

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

Physical Therapy

Research output: Contribution to journal › Review article › peer-review

3 Scopus citations

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.

Original language	English (US)
Pages (from-to)	459-471
Number of pages	13
Journal	Physical Medicine and Rehabilitation Clinics of North America
Volume	30
Issue number	2
DOIs	https://doi.org/10.1016/j.pmr.2018.12.003
State	Published - May 2019

Keywords

Big data
Data networks
Data science
Outcomes
Rehabilitation science

ASJC Scopus subject areas

Physical Therapy, Sports Therapy and Rehabilitation
Rehabilitation

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10.1016/j.pmr.2018.12.003

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title = "Data Science in Physical Medicine and Rehabilitation: Opportunities and Challenges",

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",

author = "Ottenbacher, {Kenneth J.} and Graham, {James E.} and Fisher, {Steve R.}",

note = "Publisher Copyright: {\textcopyright} 2018 The Authors",

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AU - Graham, James E.

AU - Fisher, Steve R.

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Y1 - 2019/5

N2 - 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.

AB - 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.

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KW - Data networks

KW - Data science

KW - Outcomes

KW - Rehabilitation science

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Data Science in Physical Medicine and Rehabilitation: Opportunities and Challenges

Abstract

Keywords

ASJC Scopus subject areas

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