为医疗信息学提供全球网络安全标准化框架
IEEE journal of biomedical and health informatics
|September 25, 2024
概括
数字医疗保健产生了大量数据,危及受保护的健康信息 (PHI). 这项研究优先考虑隐私和安全活动,首先建议政策和合规管理,其次是员工培训和数据保护.
科学领域:
- 数字健康和健康信息学
- 医疗保健中的网络安全
- 数据隐私和数据保护
背景情况:
- 后COVID时代加速了医疗保健数字化,物联网和可穿戴设备产生了广泛的基于云的数据.
- 人工智能对这些数据的分析提供了诊断和治疗的进步,但对受保护的健康信息 (PHI) 构成重大风险.
- 目前关于PHI保护的规定往往不足,并且很难有效地实施.
研究的目的:
- 在数字医疗保健中识别和分类关键的隐私和安全活动.
- 为实施这些活动制定优先级框架,以保护PHI.
- 为医疗保健政策制定者和信息学专业人员提供可操作的见解.
主要方法:
- 利用Delphi方法确定了20个关键的隐私和安全活动.
- 基于员工密度的应用程序与噪音的空间聚类 (DBSCAN) 用于将活动分类为五个组.
- 应用了以理想解决方案相似度优先顺序 (TOPSIS) 的技术来确定优先级.
主要成果:
- 确定了五个关键类别:政策和合规管理 (PCM),员工培训和意识 (ETA),数据保护和隐私控制 (DPPC),监控和响应 (MR),技术和基础设施安全 (TIS).
- 确定优先级的结果表明,PCM活动应该首先实施.
- 建议分别将ETA和DPPC活动作为第二和第三优先级,其次是MR和TIS.
结论:
- 为了有效实施医疗数据隐私和安全措施,一个结构化,优先级的框架是必不可少的.
- 政策和合规管理成为最初关注的最关键领域.
- 这些发现为在不断变化的数字医疗保健环境中增强PHI安全提供了实际的路线图.
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