Assessing data availability and quality within an electronic health record system through external validation against an external clinical data source.

Journal: BMC medical informatics and decision making
PMID: 31345210

Abstract

BACKGROUND: Approximately 20% of deaths in the US each year are attributable to smoking, yet current practices in the recording of this health risk in electronic health records (EHRs) have not led to discernable changes in health outcomes. Several groups have developed algorithms for extracting smoking behaviors from clinical notes, but none of these approaches were assessed with external data to report on anticipated clinical performance.

Authors

  • Ellen L Palmer
    Dartmouth College, Hanover, NH, USA. elp76@case.edu.
  • John Higgins
    Dartmouth College, Hanover, NH, USA.
  • Saeed Hassanpour
    Lia Harrington, Todd MacKenzie, and Saeed Hassanpour, Geisel School of Medicine at Dartmouth College, Hanover; Roberta diFlorio-Alexander, Katherine Trinh, and Arief Suriawinata, Dartmouth-Hitchcock Medical Center, Lebanon, NH.
  • James Sargent
    Dartmouth College, Hanover, NH, USA.
  • Christina M Robinson
    New Hampshire Colonoscopy Registery, Lebanon, NH, USA.
  • Jennifer A Doherty
    Huntsman Cancer Institute, Salt Lake City, UT, USA.
  • Tracy Onega
    Tracy Onega, Dharmanshu Kamra, Jennifer Alford-Teaster, Saeed Hassanpour, Geisel School of Medicine, Dartmouth College; and Saeed Hassanpour, Dartmouth College, Hanover, NH.

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