Tuck School of Business, Dartmouth College, Hanover, NH 03755, USA.
J Am Med Inform Assoc. 2013 Jan 1;20(1):44-51. doi: 10.1136/amiajnl-2012-000906. Epub 2012 Sep 6.
Securing protected health information is a critical responsibility of every healthcare organization. We explore information security practices and identify practice patterns that are associated with improved regulatory compliance.
We employed Ward's cluster analysis using minimum variance based on the adoption of security practices. Variance between organizations was measured using dichotomous data indicating the presence or absence of each security practice. Using t tests, we identified the relationships between the clusters of security practices and their regulatory compliance.
We utilized the results from the Kroll/Healthcare Information and Management Systems Society telephone-based survey of 250 US healthcare organizations including adoption status of security practices, breach incidents, and perceived compliance levels on Health Information Technology for Economic and Clinical Health, Health Insurance Portability and Accountability Act, Red Flags rules, Centers for Medicare and Medicaid Services, and state laws governing patient information security.
Our analysis identified three clusters (which we call leaders, followers, and laggers) based on the variance of security practice patterns. The clusters have significant differences among non-technical practices rather than technical practices, and the highest level of compliance was associated with hospitals that employed a balanced approach between technical and non-technical practices (or between one-off and cultural practices).
Hospitals in the highest level of compliance were significantly managing third parties' breaches and training. Audit practices were important to those who scored in the middle of the pack on compliance. Our results provide security practice benchmarks for healthcare administrators and can help policy makers in developing strategic and practical guidelines for practice adoption.
保护健康信息是每个医疗保健组织的关键责任。我们探讨信息安全实践,并确定与提高监管合规性相关的实践模式。
我们采用基于最小方差的 Ward 聚类分析,根据安全实践的采用情况进行聚类。使用二值数据来衡量组织之间的方差,该数据表示每个安全实践的存在或不存在。使用 t 检验,我们确定了安全实践聚类与其监管合规性之间的关系。
我们利用 Kroll/Healthcare Information and Management Systems Society 对 250 家美国医疗保健组织进行的基于电话的调查结果,包括安全实践的采用情况、违规事件以及对健康信息技术经济和临床健康、健康保险流通与责任法案、红旗规则、医疗保险和医疗补助服务中心以及州法律的合规感知水平。
我们的分析根据安全实践模式的差异确定了三个聚类(我们称之为领导者、追随者和落后者)。这些聚类在非技术实践中存在显著差异,而不是在技术实践中,最高水平的合规性与采用技术和非技术实践之间平衡方法的医院相关(或与一次性和文化实践相关)。
合规水平最高的医院在管理第三方违规和培训方面表现出色。审计实践对合规得分处于中游的人来说很重要。我们的结果为医疗保健管理人员提供了安全实践基准,并有助于政策制定者制定实践采用的战略和实用指南。