Exploring factors affecting patient satisfaction in online healthcare: A machine learning approach grounded in empathy theory.

Journal: Digital health
Published Date:

Abstract

OBJECTIVE: Empathy between doctors and patients is crucial in enhancing patient satisfaction with medical consultations. This study, grounded in empathy theory, employs natural language processing and machine learning algorithms to explore the factors influencing patient satisfaction in online healthcare services, particularly the impact of doctor-patient empathy.

Authors

  • Junbai Chen
    Beijing University of Chinese Medicine, Beijing, China.
  • Guoping Wu
    Beijing University of Chinese Medicine, Beijing, China.
  • Tong Zhang
    Beijing University of Chinese Medicine, Beijing, China.
  • Butian Zhao
    Beijing University of Chinese Medicine, Beijing, China.
  • Ruojia Wang
    Beijing University of Chinese Medicine, Beijing, China.
  • Xing Zhai
    Beijing University of Chinese Medicine, Beijing, China.
  • Fengying Guo
    Beijing University of Chinese Medicine, Beijing, China.

Keywords

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