Using natural language processing to identify child maltreatment in health systems.

Journal: Child abuse & neglect
PMID: 36758373

Abstract

BACKGROUND: Rates of child maltreatment (CM) obtained from electronic health records are much lower than national child welfare prevalence rates indicate. There is a need to understand how CM is documented to improve reporting and surveillance.

Authors

  • Sonya Negriff
    Kaiser Permanente Southern California, Department of Research & Evaluation, Pasadena, CA, United States of America; Kaiser Permanente Bernard J Tyson School of Medicine, Pasadena, CA, United States of America. Electronic address: Sonya.x.negriff@kp.org.
  • Frances L Lynch
    Center for Health Research, Kaiser Permanente Northwest, Portland, Oregon, USA.
  • David J Cronkite
    Kaiser Permanente Washington Health Research Institute, Seattle, Washington, USA.
  • Roy E Pardee
    Kaiser Permanente Washington, Health Research Institute, Seattle, WA, United States of America.
  • Robert B Penfold
    Kaiser Permanente Washington, Health Research Institute, Seattle, WA, United States of America; Kaiser Permanente Bernard J Tyson School of Medicine, Pasadena, CA, United States of America.

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