Catch Me if You Can: Acute Events Hidden in Structured Chronic Disease Diagnosis Descriptions Show Detectable Recording Patterns in EHR.

Journal: AMIA ... Annual Symposium proceedings. AMIA Symposium
Published Date: Jan 25, 2021

Abstract

Our previous research shows that structured cancer DX description data accuracy varied across electronic health record (EHR) segments (e.g. encounter DX, problem list, etc.). We provide initial evidence corroborating these findings in EHRs from patients with diabetes. We hypothesized that the odds of recording an "uncontrolled diabetes" DX increased after a hemoglobin A1c result above 9% and that this rate would vary across EHR segments. Our statistical models revealed that each DX indicating uncontrolled diabetes was 2.6% more likely to occur post-A1c>9% overall (adj-p=.0005) and 3.9% after controlling for EHR segment (adj-p<.0001). However, odds ratios varied across segments (1.021

Authors

  • Franck Diaz-Garelli
    University of North Carolina at Charlotte. Charlotte, NC.
  • Kristin M Lenoir
    Wake Forest School of Medicine, Winston Salem, NC.
  • Brian J Wells
    Wake Forest School of Medicine, Winston Salem, NC.

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