Yu Lanyi, Zhai Xiaomei
School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Center for Bioethics, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
J Clin Nurs. 2024 Nov 5. doi: 10.1111/jocn.17493.
To provide practical insights that delve into the ethical issues and regulatory implications of generative artificial intelligence (GenAI) in healthcare. Ethical Challenges and Regulatory Impact in China is used as an example.
Despite China's efforts to strike a delicate balance between protecting public welfare and promoting technological advancement, numerous unresolved issues persist in the practical integration of generative artificial intelligence into healthcare settings.
Key issues such as data application, privacy protection, cost-effectiveness and regulatory remain areas of ambiguity that require clarification. Stringent ethical guidelines, data privacy protection measures and continuous supervision and evaluation of artificial intelligence decisions will help enhance the expected benefits of GenAI in healthcare.
The potential use of GenAI in healthcare has garnered widespread attention, emerging as a significant global research topic. However, its application in this domain presents substantial ethical and regulatory challenges. Compared to other fields, GenAI's role in healthcare is more sensitive and complex, necessitating an urgent assessment of its ethical implications for future development and deployment. Challenges and ethical considerations are particularly pronounced in developing countries with limited healthcare resources.
深入探讨生成式人工智能（GenAI）在医疗保健领域的伦理问题和监管影响，并提供切实可行的见解。以中国的伦理挑战和监管影响为例。
尽管中国努力在保护公众福利和促进技术进步之间取得微妙平衡，但在将生成式人工智能实际整合到医疗保健环境中仍存在许多未解决的问题。
数据应用、隐私保护、成本效益和监管等关键问题仍然存在模糊之处，需要加以澄清。严格的伦理准则、数据隐私保护措施以及对人工智能决策的持续监督和评估，将有助于提高GenAI在医疗保健中的预期效益。
GenAI在医疗保健中的潜在应用已引起广泛关注，成为一个重要的全球研究课题。然而，其在该领域的应用带来了重大的伦理和监管挑战。与其他领域相比，GenAI在医疗保健中的作用更为敏感和复杂，因此迫切需要评估其对未来发展和部署的伦理影响。在医疗资源有限的发展中国家，挑战和伦理考量尤为突出。
