Extracting social determinants of health from electronic health records using natural language processing: a systematic review.

Journal: Journal of the American Medical Informatics Association : JAMIA
Published Date: Nov 25, 2021

Abstract

OBJECTIVE: Social determinants of health (SDoH) are nonclinical dispositions that impact patient health risks and clinical outcomes. Leveraging SDoH in clinical decision-making can potentially improve diagnosis, treatment planning, and patient outcomes. Despite increased interest in capturing SDoH in electronic health records (EHRs), such information is typically locked in unstructured clinical notes. Natural language processing (NLP) is the key technology to extract SDoH information from clinical text and expand its utility in patient care and research. This article presents a systematic review of the state-of-the-art NLP approaches and tools that focus on identifying and extracting SDoH data from unstructured clinical text in EHRs.

Authors

  • Braja G Patra
    University of Texas Health Science Center at Houston Houston, TX, USA.
  • Mohit M Sharma
    Department of Population Health Sciences, Weill Cornell Medicine, New York, New York, USA.
  • Veer Vekaria
    Department of Population Health Sciences, Weill Cornell Medicine, New York, New York, USA.
  • Prakash Adekkanattu
    Information Technologies and Services.
  • Olga V Patterson
    VA Salt Lake City Health Care System.
  • Benjamin Glicksberg
    Hasso Plattner Institute of Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York, New York.
  • Lauren A Lepow
    Icahn School of Medicine at Mount Sinai, New York, New York, USA.
  • Euijung Ryu
    Department of Health Sciences Research, Mayo Clinic, Rochester, MN, 55905, USA.
  • Joanna M Biernacka
    Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota, USA.
  • Al'ona Furmanchuk
    Northwestern University, Chicago, Illinois, USA.
  • Thomas J George
    Division of Hematology & Oncology, Department of Medicine, College of Medicine.
  • William Hogan
    Departments of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, Gainesville, Florida, USA.
  • Yonghui Wu
    Department of Health Outcomes and Biomedical Informatics.
  • Xi Yang
    Department of Health Outcomes and Biomedical Informatics.
  • Jiang Bian
    Department of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, Gainesville, Florida, United States of America.
  • Myrna Weissman
    Vagelos College of Physicians and Surgeons, Columbia University, New York, New York, USA.
  • Priya Wickramaratne
    Vagelos College of Physicians and Surgeons, Columbia University, New York, New York, USA.
  • J John Mann
    Vagelos College of Physicians and Surgeons, Columbia University, New York, New York, USA.
  • Mark Olfson
    Department of Psychiatry, New York State Psychiatric Institute, Columbia University Medical Center, New York.
  • Thomas R Campion
    Information Technologies and Services Department, Weill Cornell Medicine, New York, NY.
  • Mark Weiner
    Department of Population Health Sciences, Weill Cornell Medicine, New York, New York, USA.
  • Jyotishman Pathak
    Department of Population Health Sciences, Weill Cornell Medicine, New York, NY, USA.

Keywords

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