通过模糊联合分析对患者隐私保护的评估 - 从护士的角度进行的案例研究
Güney Gürsel1, Nükhet Bayer2, Ömer Turunç3
1Software Engineering Department, Faculty of Engineering and Architecture, Konya Food and Agriculture University, Konya 42080, Turkey.
这项研究评估了医疗保健中的患者隐私因素,发现一家土耳其主要医院的隐私成熟度水平较低 (2/5). 这凸显了需要更好的数据安全措施来保护敏感的患者信息.
科学领域:
- 医疗保健信息学 医疗保健信息学
- 信息安全 信息安全
- 患者数据隐私 患者数据隐私
背景情况:
- 医疗保健技术增加了对敏感患者数据的风险.
- 电子健康记录带来了独特的患者隐私挑战.
- 现有的文献缺乏对所有患者隐私组件的全面概述.
研究的目的:
- 开发一个完整的患者隐私评估框架.
- 创建和验证一个库存作为一个评估工具.
- 为了评估医疗机构患者隐私成熟度.
主要方法:
- 一项三阶段研究:框架开发,库存创建和案例研究评估.
- 模糊联合分析用于管理主观和模两可的数据.
- 在1 (最差) 到5 (最好) 的比例上,分配了患者隐私成熟度级别.
主要成果:
- 评估了土耳其最大的医院,有400名护士参与.
- 该研究证实了文献发现,医疗机构对患者隐私保护的投资不足.
- 被评估的机构获得了低的患者隐私成熟度评分2,表明表现不佳.
结论:
- 开发的框架通过多个组成部分来衡量隐私成熟度.
- 结果为患者和公众提供有关其健康数据安全性的信息.
- 成熟程度为患者选择安全机构和评估公众信任提供了基础.
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