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首页> 外文期刊>International journal of information security and privacy >Misuse of 'Break-the-Glass' Policies in Hospitals: Detecting Unauthorized Access to Sensitive Patient Health Data
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Misuse of 'Break-the-Glass' Policies in Hospitals: Detecting Unauthorized Access to Sensitive Patient Health Data

机译：医院滥用“破例”政策：检测到未经授权的敏感患者健康数据访问

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This article describes how the information about an individual's personal health is among ones most sensitive and important intangible belongings. When health information is misused, serious non-revertible damage can be caused, e.g. through making intimidating details public or leaking it to employers, insurances etc. Therefore, health information needs to be treated with the highest degree of confidentiality. In practice it proves difficult to achieve this goal. In a hospital setting medical staff across departments often needs to access patient data without directly obvious reasons, which makes it difficult to distinguish legitimate from illegitimate access. This article provides a mechanism to classify transactions at a large university medical center into plausible and questionable data access using a real-life data set of more than 60,000 transactions. The classification mechanism works with minimal data requirements and unsupervised data sets. The results were evaluated through manual cross-checks internally and by a group of external experts. Consequently, the hospital's data protection officer is now able to focus on analyzing questionable transactions instead of checking random samples.
机译：本文介绍了有关个人的个人健康的信息如何成为最敏感和最重要的无形财产之一。如果滥用健康信息，可能会造成严重的不可挽回的损失，例如通过公开令人恐惧的细节或将其泄露给雇主，保险等。因此，健康信息需要以最高机密性进行处理。在实践中，很难实现这一目标。在医院中，跨部门的医务人员经常需要在没有直接明显原因的情况下访问患者数据，这使得很难区分合法访问和非法访问。本文提供了一种机制，可以使用超过60,000笔交易的真实数据集将大型大学医学中心的交易分类为合理和可疑的数据访问。分类机制以最小的数据需求和无监督的数据集工作。通过内部和一组外部专家的手动交叉检查对结果进行了评估。因此，医院的数据保护官现在可以专注于分析可疑交易，而不是检查随机样本。

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