Recently, Dr. Zhang Wenhong, Director of the Department of Infectious Diseases at Huashan Hospital, publicly stated that he currently opposes integrating artificial intelligence (AI) into hospital electronic medical record systems. This remark has sparked widespread discussion. Zhang clarified that his stance is not against AI technology per se, but stems from concerns about the current immaturity of AI’s reliability and security in handling sensitive medical data. He emphasized that medical records contain patients’ most critical and private health information, and any algorithmic errors or data breaches could lead to misdiagnosis or privacy violations with serious consequences. Furthermore, AI models are often trained on large historical datasets that may contain biases or inaccuracies, potentially compromising diagnostic recommendations. Zhang argued that until AI undergoes rigorous clinical validation and operates under unified regulatory standards, its premature integration into core clinical workflows poses significant risks. He urged the industry to first establish robust ethical guidelines, data security protocols, and clear accountability frameworks for AI in healthcare before gradually implementing it in areas like medical documentation and diagnostic support. His cautious approach reflects a strong commitment to patient safety and offers a thoughtful perspective on the responsible integration of AI into medicine.
近日，华山医院感染科主任张文宏医生在一次公开演讲中明确表示，他目前拒绝将人工智能（AI）引入医院的病历系统。这一表态引发了广泛关注和讨论。张文宏强调，并非反对AI技术本身，而是担忧当前AI在医疗数据处理中的可靠性和安全性尚不成熟。他指出，病历系统承载着患者最敏感、最关键的健康信息，一旦因算法错误或数据泄露造成误诊或隐私侵犯，后果将不堪设想。此外，AI模型往往依赖大量历史数据训练，而这些数据可能存在偏见或不完整性，进而影响诊断建议的准确性。张文宏认为，在AI尚未通过严格临床验证、缺乏统一监管标准之前，贸然将其嵌入核心医疗流程存在较大风险。他呼吁行业应优先完善AI在医疗领域的伦理规范、数据安全机制和责任认定体系，再逐步推进其在病历管理、辅助诊断等场景的应用。这一谨慎态度体现了对患者安全的高度负责，也为AI与医疗深度融合提供了理性思考的方向。
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