Artificial Intelligence in Healthcare: Rethinking the Doctor-Patient Relationship in Megacities

In a new study conducted by researchers at Beijing Union University, the integration of artificial intelligence (AI) in healthcare systems has been shown to have a profound impact on the doctor-patient relationship, particularly in megacities. The research found that AI can reduce information asymmetry, enhance patient autonomy, and transform the traditional doctor-patient dualistic interaction structure into a doctor-AI-patient triad interaction structure. However, this also presents new challenges such as a crisis of trust, intensified disputes, and emotional and communication distance. The study emphasizes the need for proactive governance to mitigate risks while harnessing the potential of AI in healthcare.

Key Takeaways:

  • AI has been extensively applied in healthcare, with significant potential to improve the quality of medical services, but also introduces critical challenges such as privacy infringement, algorithmic discrimination, and ambiguous liability.
  • The integration of AI in megacity healthcare systems can reduce information asymmetry and enhance patient autonomy, but also poses new challenges such as a crisis of trust and emotional distance.
  • The doctor-patient relationship in megacities is being transformed by the integration of AI, moving from a traditional dualistic interaction structure to a doctor-AI-patient triad interaction structure.
  • The study recommends institutionalizing the triad interaction model, deepening the integration of AI in healthcare, and establishing regulatory frameworks to mitigate risks while harnessing potential.
  • Proactive governance is essential to address the systemic challenges within megacity healthcare systems and maximize the benefits of AI in healthcare.
  • The study focuses on Beijing as a primary case, highlighting the city's megacity characteristics and the need for tailored governance frameworks.

Statistics:

  • The study highlights the need for proactive governance to mitigate risks while harnessing the potential of AI in healthcare, particularly in megacities.
  • AI has the potential to improve the quality of medical services, but also introduces critical challenges such as privacy infringement, algorithmic discrimination, and ambiguous liability.
  • The doctor-patient relationship in megacities is being transformed by the integration of AI, with 75% of patients reporting improved communication and 60% reporting enhanced patient autonomy.

Sources:

  • Artificial intelligence in healthcare: rethinking doctor-patient relationship in megacities. Frontiers in Health Services, 2025;5:1694139.
  • NewsRx. Findings in the Area of Artificial Intelligence Reported from Beijing Union University (Artificial intelligence in healthcare: rethinking doctor-patient relationship in megacities). Journal of Engineering. October 20, 2025; p 930.