Population-Based Analysis of Histologically Confirmed Melanocytic Proliferations Using Natural Language Processing.

Journal: JAMA dermatology
Published Date: Jan 1, 2018

Abstract

IMPORTANCE: Population-based information on the distribution of histologic diagnoses associated with skin biopsies is unknown. Electronic medical records (EMRs) enable automated extraction of pathology report data to improve our epidemiologic understanding of skin biopsy outcomes, specifically those of melanocytic origin.

Authors

  • Jason P Lott
    Cornell Scott-Hill Health Center, New Haven, Connecticut.
  • Denise M Boudreau
    Kaiser Permanente Washington Health Research Institute, Seattle.
  • Ray L Barnhill
    Department of Pathology, Institut Curie, and Faculty of Medicine, University of Paris Descartes, Paris, France.
  • Martin A Weinstock
    Departments of Dermatology and Epidemiology, Brown University, Providence, Rhode Island.
  • Eleanor Knopp
    Division of Dermatology, Department of Medicine, University of Washington, Seattle.
  • Michael W Piepkorn
    Division of Dermatology, Department of Medicine, University of Washington, Seattle.
  • David E Elder
    Department of Pathology and Laboratory Medicine, Hospital of the University of Pennsylvania, Philadelphia.
  • Steven R Knezevich
    Pathology Associates, Clovis, California.
  • Andrew Baer
    Kaiser Permanente of Washington Health Research Institute (formerly Group Health Research Institute), Seattle, WA, USA.
  • Anna N A Tosteson
    The Dartmouth Institute for Health Policy and Clinical Practice, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire.
  • Joann G Elmore
    Department of Medicine, University of Washington School of Medicine, Seattle.

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