Extracting social determinants of health from inpatient electronic medical records using natural language processing.

Journal: Journal of epidemiology and population health
PMID: 39546940

Abstract

BACKGROUND: Social determinants of health (SDOH) have been shown to be important predictors of health outcomes. Here we developed methods to extract them from inpatient electronic medical record (EMR) data using techniques compatible with current EMR systems.

Authors

  • Elliot A Martin
    Centre for Health Informatics, University of Calgary, Calgary, Canada; Health Research Methods and Analytics, Alberta Health Services, Calgary, Canada. Electronic address: eamartin@ucalgary.ca.
  • Adam G D'Souza
    Centre for Health Informatics, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.
  • Vineet Saini
    Public Health Evidence and Innovation, Alberta Health Services, Calgary, Canada.
  • Karen Tang
    Center for Children and Families, University of Notre Dame, 1602 N. Ironwood Dr., South Bend, IN, 46635, USA. ktang@nd.edu.
  • Hude Quan
    Department of Community Health Sciences, University of Calgary, Calgary, Canada.
  • Cathy A Eastwood
    Centre for Health Informatics, University of Calgary, Calgary, Canada; Department of Community Health Science, University of Calgary, Calgary, Canada.

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