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Reducing privacy risks of China's healthcare big data through the policy framework.
Shi, Xinyuan.
Afiliación
  • Shi X; School of Law, Xiamen University, Xiamen, China.
Front Public Health ; 12: 1414076, 2024.
Article en En | MEDLINE | ID: mdl-39022418
ABSTRACT
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.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Macrodatos / Política de Salud Límite: Humans País/Región como asunto: Asia Idioma: En Revista: Front Public Health Año: 2024 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Macrodatos / Política de Salud Límite: Humans País/Región como asunto: Asia Idioma: En Revista: Front Public Health Año: 2024 Tipo del documento: Article País de afiliación: China
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