Florida International University, Miami, FL, United States.
J Med Internet Res. 2024 Nov 6;26:e59674. doi: 10.2196/59674.
The security and privacy of health care information are crucial for maintaining the societal value of health care as a public good. However, governance over electronic health care data has proven inefficient, despite robust enforcement efforts. Both federal (HIPAA [Health Insurance Portability and Accountability Act]) and state regulations, along with the ombudsman rule, have not effectively reduced the frequency or impact of data breaches in the US health care system. While legal frameworks have bolstered data security, recent years have seen a concerning increase in breach incidents. This paper investigates common breach types and proposes best practices derived from the data as potential solutions.
The primary aim of this study is to analyze health care and hospital breach data, comparing it against HIPAA compliance levels across states (spatial analysis) and the impact of the Omnibus Rule over time (temporal analysis). The goal is to establish guidelines for best practices in handling sensitive information within hospitals and clinical environments.
The study used data from the Department of Health and Human Services on reported breaches, assessing the severity and impact of each breach type. We then analyzed secondary data to examine whether HIPAA's storage and retention rule amendments have influenced security and privacy incidents across all 50 states. Finally, we conducted a qualitative analysis of textual data from vulnerability and breach reports to identify actionable best practices for health care settings.
Our findings indicate that hacking or IT incidents have the most significant impact on the number of individuals affected, highlighting this as a primary breach category. The overall difference-in-differences trend reveals no significant reduction in breach rates (P=.50), despite state-level regulations exceeding HIPAA requirements and the introduction of the ombudsman rule. This persistence in breach trends implies that even strengthened protections and additional guidelines have not effectively curbed the rising number of affected individuals. Through qualitative analysis, we identified 15 unique values and associated best practices from industry standards.
Combining quantitative and qualitative insights, we propose the "SecureSphere framework" to enhance data security in health care institutions. This framework presents key security values structured in concentric circles: core values at the center and peripheral values around them. The core values include employee management, policy, procedures, and IT management. Peripheral values encompass the remaining security attributes that support these core elements. This structured approach provides a comprehensive security strategy for protecting patient health information and is designed to help health care organizations develop sustainable practices for data security.
医疗保健信息的安全性和隐私性对于维护医疗保健作为公共福利的社会价值至关重要。然而,尽管采取了强有力的执法措施,对电子医疗保健数据的治理仍证明效率低下。联邦(HIPAA [医疗保险携带和责任法案])和州法规以及申诉人规则都没有有效减少美国医疗保健系统中数据泄露的频率或影响。虽然法律框架加强了数据安全性,但近年来数据泄露事件令人担忧地增加了。本文调查了常见的违规类型,并提出了源自数据的最佳实践,作为潜在的解决方案。
本研究的主要目的是分析医疗保健和医院违规数据,比较各州的 HIPAA 合规水平(空间分析)和 Omnibus 规则随时间的影响(时间分析)。目标是为医院和临床环境中处理敏感信息建立最佳实践指南。
该研究使用了卫生与公众服务部报告的违规数据,评估了每种违规类型的严重程度和影响。然后,我们分析了二次数据,以检查 HIPAA 的存储和保留规则修正案是否影响了所有 50 个州的安全和隐私事件。最后,我们对来自漏洞和违规报告的文本数据进行了定性分析,以确定医疗保健环境中的可行最佳实践。
我们的研究结果表明,黑客攻击或 IT 事件对受影响人数的影响最大,突显了这是主要的违规类别。总体差异差异趋势表明,违规率没有显著降低(P=.50),尽管州级法规超过了 HIPAA 的要求,并引入了申诉人规则。违规趋势的持续存在表明,即使加强了保护措施并增加了指南,也未能有效遏制受影响人数的增加。通过定性分析,我们从行业标准中确定了 15 个独特的价值观和相关的最佳实践。
结合定量和定性的见解,我们提出了“SecureSphere 框架”,以增强医疗保健机构的数据安全性。该框架以同心环的形式呈现关键的安全价值观:核心价值观位于中心,外围价值观围绕它们。核心价值观包括员工管理、政策、程序和 IT 管理。外围价值观包括支持这些核心要素的其余安全属性。这种结构化方法为保护患者健康信息提供了全面的安全策略,旨在帮助医疗保健组织制定可持续的数据安全实践。