Natural language processing for identification of hypertrophic cardiomyopathy patients from cardiac magnetic resonance reports.

Journal: BMC medical informatics and decision making
Published Date: Oct 18, 2022

Abstract

BACKGROUND: Cardiac magnetic resonance (CMR) imaging is important for diagnosis and risk stratification of hypertrophic cardiomyopathy (HCM) patients. However, collection of information from large numbers of CMR reports by manual review is time-consuming, error-prone and costly. Natural language processing (NLP) is an artificial intelligence method for automated extraction of information from narrative text including text in CMR reports in electronic health records (EHR). Our objective was to assess whether NLP can accurately extract diagnosis of HCM from CMR reports.

Authors

  • Nakeya Dewaswala
    Department of Cardiovascular Medicine, Mayo Clinic Rochester, Rochester, MN, USA.
  • David Chen
    Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada.
  • Huzefa Bhopalwala
    Department of Cardiovascular Medicine, Mayo Clinic Rochester, Rochester, MN, USA.
  • Vinod C Kaggal
    Enterprise Technology Services, Shared Service Offices, Mayo Clinic, MN, Rochester, USA.
  • Sean P Murphy
    Advanced Analytics Services, Mayo Clinic Rochester, Rochester, MN, USA.
  • J Martijn Bos
    Department of Cardiovascular Medicine; Windland Smith Rice Sudden Death Genomics Laboratory, Department of Molecular Pharmacology and Experimental Therapeutics (J.M.B., M.J.A.), Mayo Clinic, Rochester, MN.
  • Jeffrey B Geske
    Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA.
  • Bernard J Gersh
    Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA.
  • Steve R Ommen
    Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA.
  • Philip A Araoz
    Department of Radiology, Mayo Clinic Rochester, Rochester, MN, USA.
  • Michael J Ackerman
    Department of Cardiovascular Medicine, Mayo Clinic, 200 First Street SW, Rochester, MN 55905, USA.
  • Adelaide M Arruda-Olson
    Mayo Clinic Rochester, MN.

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