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Healthcare Data Breaches: Insights and Implications

机译:医疗保健数据泄露:洞察力和含义

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摘要

The Internet of Medical Things, Smart Devices, Information Systems, and Cloud Services have led to a digital transformation of the healthcare industry. Digital healthcare services have paved the way for easier and more accessible treatment, thus making our lives far more comfortable. However, the present day healthcare industry has also become the main victim of external as well as internal attacks. Data breaches are not just a concern and complication for security experts; they also affect clients, stakeholders, organizations, and businesses. Though the data breaches are of different types, their impact is almost always the same. This study provides insights into the various categories of data breaches faced by different organizations. The main objective is to do an in-depth analysis of healthcare data breaches and draw inferences from them, thereby using the findings to improve healthcare data confidentiality. The study found that hacking/IT incidents are the most prevalent forms of attack behind healthcare data breaches, followed by unauthorized internal disclosures. The frequency of healthcare data breaches, magnitude of exposed records, and financial losses due to breached records are increasing rapidly. Data from the healthcare industry is regarded as being highly valuable. This has become a major lure for the misappropriation and pilferage of healthcare data. Addressing this anomaly, the present study employs the simple moving average method and the simple exponential soothing method of time series analysis to examine the trend of healthcare data breaches and their cost. Of the two methods, the simple moving average method provided more reliable forecasting results.
机译:医疗物联网,智能设备,信息系统和云服务已导致医疗保健行业的数字化转型。数字医疗服务为更轻松,更容易获得的治疗铺平了道路,从而使我们的生活更加舒适。但是,当今的医疗保健行业也已成为外部和内部攻击的主要受害者。数据泄露不仅是安全专家关心的问题,而且是复杂的问题。它们还会影响客户,利益相关者,组织和企业。尽管数据泄露的类型不同,但其影响几乎总是相同的。这项研究提供了对不同组织所面临的各种数据泄露类别的见解。主要目的是对医疗保健数据泄露进行深入分析,并从中得出推论,从而利用调查结果提高医疗保健数据的机密性。研究发现,黑客攻击/ IT事件是仅次于医疗保健数据泄露事件的最普遍的攻击形式,其次是未经授权的内部披露。医疗保健数据泄露的频率,暴露的记录的数量以及由于违反记录而造成的财务损失正在迅速增加。来自医疗保健行业的数据被认为具有很高的价值。这已成为医疗数据盗用和盗窃的主要诱因。针对此异常,本研究采用简单的移动平均法和时间序列分析的简单指数缓和法来检查医疗保健数据泄露的趋势及其成本。在这两种方法中,简单移动平均法提供了更可靠的预测结果。

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