Identifying Nonpatient Authors of Patient Portal Secure Messages in Oncology: A Proof-of-Concept Demonstration of Natural Language Processing Methods.

Journal: JCO clinical cancer informatics
Published Date: Dec 1, 2022

Abstract

PURPOSE: Patient portal secure messages are not always authored by the patient account holder. Understanding who authored the message is particularly important in an oncology setting where symptom reporting is crucial to patient treatment. Natural language processing has the potential to detect messages not authored by the patient automatically.

Authors

  • Natalie C Benda
    School of Nursing, Columbia University School of Nursing, New York, NY, United States.
  • Christopher Rogers
    Department of Health Informatics, Memorial Sloan Kettering Cancer Center, New York, NY.
  • Mohit Sharma
    Department of Population Health Sciences, Weill Cornell Medicine, New York, NY.
  • Wazim Narain
    Department of Health Informatics, Memorial Sloan Kettering Cancer Center, New York, NY.
  • Lisa C Diamond
    Department of Population Health Sciences, Weill Cornell Medicine, New York, NY.
  • Jessica Ancker
    Hospital Medicine Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY.
  • Kenneth Seier
    Department of Epidemiology- Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY.
  • Peter D Stetson
    Department of Health Informatics, Memorial Sloan Kettering Cancer Center, New York, NY.
  • Lina Sulieman
    Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA. Electronic address: lina.m.sulieman@vanderbilt.edu.
  • Misha Armstrong
    Department of Surgery, New York Presbyterian-Weill Cornell Medicine, New York, NY.
  • Yifan Peng
    Department of Population Health Sciences, Weill Cornell Medicine, New York, USA.

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