Challenges of Developing a Natural Language Processing Method With Electronic Health Records to Identify Persons With Chronic Mobility Disability.

Journal: Archives of physical medicine and rehabilitation
PMID: 32446905

Abstract

OBJECTIVE: To assess the utility of applying natural language processing (NLP) to electronic health records (EHRs) to identify individuals with chronic mobility disability.

Authors

  • Nicole D Agaronnik
    Harvard Medical School, Boston, MA.
  • Charlotta Lindvall
    Harvard Medical School, Boston, MA.
  • Areej El-Jawahri
    Department of Medicine, Harvard Medical School, Boston, MA; Division of Hematology and Oncology, Massachusetts General Hospital, Boston, MA.
  • Wei He
    Department of Orthopaedics Surgery, First Affiliated Hospital of Guangzhou University of Traditional Chinese Medicine, Guangzhou, China.
  • Lisa I Iezzoni
    Health Policy Research Center, Mongan Institute, Massachusetts General Hospital, Boston, MA; Department of Medicine, Harvard Medical School, Boston, MA. Electronic address: liezzoni@mgh.harvard.edu.

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