Research on the Ethical Risks and Governance Approaches of Environmental AI-Assisted Medical Record Management

Environmental-based artificial intelligence-assisted medical record keeping involves collecting patient-doctor conversations, automatically transcribing them, extracting information, and structuring the data. This process generates draft medical records, which can reduce the burden on clinical staff and improve communication between doctors and patients. However, as a “third-party recorder” at the point of care, this technology may also pose ethical risks, such as insufficient informed consent, exposure of sensitive information, suppression of patients’ voices during communication, distortion of medical records, and unclear accountability for any mistakes. This article analyzes the operational mechanisms and clinical applications of this technology. It also examines four clinical cases to highlight the associated risks. Finally, it proposes measures to improve informed consent processes, strengthen data security, and enhance hospital governance mechanisms.