School of Law, Xiamen University, Xiamen, China.
Front Public Health. 2024 Jul 3;12:1414076. doi: 10.3389/fpubh.2024.1414076. eCollection 2024.
While healthcare big data brings great opportunities and convenience to the healthcare industry, it also inevitably raises the issue of privacy leakage. Nowadays, the whole world is facing the security threat of healthcare big data, for which a sound policy framework can help reduce privacy risks of healthcare big data. In recent years, the Chinese government and industry self-regulatory organizations have issued a series of policy documents to reduce privacy risks of healthcare big data. However, China's policy framework suffers from the drawbacks of the mismatched operational model, the inappropriate operational method, and the poorly actionable operational content. Based on the experiences of the European Union, Australia, the United States, and other extra-territorial regions, strategies are proposed for China to amend the operational model of the policy framework, improve the operational method of the policy framework, and enhance the operability of the operational content of the policy framework. This study enriches the research on China's policy framework to reduce privacy risks of healthcare big data and provides some inspiration for other countries.
虽然医疗大数据给医疗行业带来了巨大的机遇和便利，但也不可避免地引发了隐私泄露问题。如今，全世界都面临着医疗大数据的安全威胁，健全的政策框架有助于降低医疗大数据的隐私风险。近年来，中国政府和行业自律组织已经发布了一系列政策文件，以降低医疗大数据的隐私风险。然而，中国的政策框架存在运营模式不匹配、运营方法不当和可操作性差等缺陷。借鉴欧盟、澳大利亚、美国等域外地区的经验，提出了修正政策框架运营模式、改进政策框架运营方法和增强政策框架运营内容可操作性的策略。本研究丰富了中国降低医疗大数据隐私风险的政策框架研究，为其他国家提供了一些启示。
