构建全球医疗数据安全标准框架，统一不同国家的隐私保护规范。
A Global Medical Data Security and Privacy Preserving Standards Identification Framework for Electronic Healthcare Consumers
- 通过聚类与优先级分析，整合六项法规中的二十个核心概念。
- 识别出五项关键因素，为电子病历安全提供实施优先级。
- 适合医疗政策制定者与数据安全从业者参考使用。
电子健康记录（EHR）是数字医疗成功的关键，以患者为中心的转型亟需保障数据安全与隐私。然而，各国在医疗数据安全与隐私标准上存在差异。本文提出一个全面的全球性标准识别框架，将分散的规则整合至统一平台。研究综述相关文献，并分析六项关键法律与标准，提炼出二十个核心概念。采用K-means聚类对概念分类，识别出五个关键影响因素，并运用序数优先分析法（Ordinal Priority Approach）确定其在EHR场景下的实施优先级。该框架兼具描述性与指导性，可为医疗数据安全政策制定者与专业人士提供实践依据，提升EHR系统的整体安全性与隐私保护水平。
原文摘要 · Abstract (English)
Electronic Health Records (EHR) are crucial for the success of digital healthcare, with a focus on putting consumers at the center of this transformation. However, the digitalization of healthcare records brings along security and privacy risks for personal data. The major concern is that different countries have varying standards for the security and privacy of medical data. This paper proposed a novel and comprehensive framework to standardize these rules globally, bringing them together on a common platform. To support this proposal, the study reviews existing literature to understand the research interest in this issue. It also examines six key laws and standards related to security and privacy, identifying twenty concepts. The proposed framework utilized K-means clustering to categorize these concepts and identify five key factors. Finally, an Ordinal Priority Approach is applied to determine the preferred implementation of these factors in the context of EHRs. The proposed study provides a descriptive then prescriptive framework for the implementation of privacy and security in the context of electronic health records. Therefore, the findings of the proposed framework are useful for professionals and policymakers in improving the security and privacy associated with EHRs.
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