Automated Extraction of Diagnostic Criteria From Electronic Health Records for Autism Spectrum Disorders: Development, Evaluation, and Application.

Journal: Journal of medical Internet research
Published Date:

Abstract

BACKGROUND: Electronic health records (EHRs) bring many opportunities for information utilization. One such use is the surveillance conducted by the Centers for Disease Control and Prevention to track cases of autism spectrum disorder (ASD). This process currently comprises manual collection and review of EHRs of 4- and 8-year old children in 11 US states for the presence of ASD criteria. The work is time-consuming and expensive.

Authors

  • Gondy Leroy
    University of Arizona, Tucson, AZ, United States.
  • Yang Gu
    University of Arizona, Tucson, Arizona.
  • Sydney Pettygrove
    University of Arizona, Tucson, Arizona.
  • Maureen K Galindo
    University of Arizona, Tucson, AZ, United States.
  • Ananyaa Arora
    University of Arizona, Tucson, AZ, United States.
  • Margaret Kurzius-Spencer
    University of Arizona, Tucson, Arizona.