Literature DB >> 30954159

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

Kenneth J Ottenbacher1, James E Graham2, Steve R Fisher3.   

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.
Copyright © 2018 The Authors. Published by Elsevier Inc. All rights reserved.

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

Mesh:

Year:  2019        PMID: 30954159     DOI: 10.1016/j.pmr.2018.12.003

Source DB:  PubMed          Journal:  Phys Med Rehabil Clin N Am        ISSN: 1047-9651            Impact factor:   1.784


  2 in total

1.  Big Data Analytics and Sensor-Enhanced Activity Management to Improve Effectiveness and Efficiency of Outpatient Medical Rehabilitation.

Authors:  Mike Jones; George Collier; David J Reinkensmeyer; Frank DeRuyter; John Dzivak; Daniel Zondervan; John Morris
Journal:  Int J Environ Res Public Health       Date:  2020-01-24       Impact factor: 3.390

2.  Improving the Use of Blockchain Technology in Stroke Care Information Management Systems.

Authors:  Yuying Yang; Aixia Song; Qing Chang; Hongmei Zhao; Weidan Kong; Qian Xue; Qianlong Xue
Journal:  Comput Math Methods Med       Date:  2022-09-26       Impact factor: 2.809

  2 in total

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