Using Natural Language Processing to Improve Discrete Data Capture From Interpretive Cervical Biopsy Diagnoses at a Large Health Care Organization.

Journal: Archives of pathology & laboratory medicine
Published Date: Feb 1, 2023

Abstract

CONTEXT.—: The terminology used by pathologists to describe and grade dysplasia and premalignant changes of the cervical epithelium has evolved over time. Unfortunately, coexistence of different classification systems combined with nonstandardized interpretive text has created multiple layers of interpretive ambiguity.

Authors

  • Soora Wi
    From Kaiser Permanente, TPMG Regional Laboratories, Berkeley, California (Wi, Goldhoff, Fuller, Grewal, Lorey).
  • Patricia E Goldhoff
    From Kaiser Permanente, TPMG Regional Laboratories, Berkeley, California (Wi, Goldhoff, Fuller, Grewal, Lorey).
  • Laurie A Fuller
    From Kaiser Permanente, TPMG Regional Laboratories, Berkeley, California (Wi, Goldhoff, Fuller, Grewal, Lorey).
  • Kiranjit Grewal
    From Kaiser Permanente, TPMG Regional Laboratories, Berkeley, California (Wi, Goldhoff, Fuller, Grewal, Lorey).
  • Nicolas Wentzensen
  • Megan A Clarke
    From the Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland (Wentzensen, Clarke).
  • Thomas S Lorey
    From Kaiser Permanente, TPMG Regional Laboratories, Berkeley, California (Wi, Goldhoff, Fuller, Grewal, Lorey).

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