Classification of Patients' Judgments of Their Physicians in Web-Based Written Reviews Using Natural Language Processing: Algorithm Development and Validation.

Journal: Journal of medical Internet research
Published Date: Aug 1, 2024

Abstract

BACKGROUND: Patients increasingly rely on web-based physician reviews to choose a physician and share their experiences. However, the unstructured text of these written reviews presents a challenge for researchers seeking to make inferences about patients' judgments. Methods previously used to identify patient judgments within reviews, such as hand-coding and dictionary-based approaches, have posed limitations to sample size and classification accuracy. Advanced natural language processing methods can help overcome these limitations and promote further analysis of physician reviews on these popular platforms.

Authors

  • Farrah Madanay
    Sanford School of Public Policy, Duke University, Durham, NC, United States.
  • Karissa Tu
    Fuqua School of Business, Duke University, Durham, NC, United States.
  • Ada Campagna
    Center for Advanced Hindsight, Duke University, Durham, NC, United States.
  • J Kelly Davis
    Fuqua School of Business, Duke University, Durham, NC, United States.
  • Steven S Doerstling
    Department of Medicine, Stanford University, Stanford, CA, United States.
  • Felicia Chen
    GrantScout, San Francisco, CA, United States.
  • Peter A Ubel
    Duke University.

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