Performance management at the point of care: secure data delivery to drive clinical decision making processes for hospital quality control

许多加拿大医院正在开发数据仓库（DW），将临床和管理数据与多个来源相结合，以支持决策者和研究人员提高医疗服务的有效性。决策支持系统（DSS）可用于监测与抗生素使用、患者出院和不良事件相关的医院流程，并采取适当的行动。然而，提供一致的，及时的和安全的访问决策支持系统的方式来解决医院的质量控制还没有得到很好的理解。遵守隐私立法、医院政策和道德规则是有问题的，并且整合到现有业务流程中是复杂的。 拟议研究的长期目标是通过开发方法来改善医院质量控制，并提供工具支持，以便在整个医院业务流程中以全面的方式向正确的临床医生的健康研究人员和管理人员安全地提供正确的绩效管理分析，报告和数据。我们的方法将结合联合收割机在临床决策支持，医院质量协议 * 数据仓库，业务流程建模，隐私和安全的数据传输在一个新的方式，解决这些问题的前面，并研究如何最好地将这种组合到日常的医院运营在护理点的研究。我们将在两个不同省份的至少两个不同的医院对不同的医疗业务流程进行评估。 这些捐款不仅会对相关医院产生直接影响，还会对加拿大各地正在开发新DW的其他医疗机构产生直接影响。最终用户将更容易地访问相关的性能和临床信息，以提高护理质量，IT人员将利用我们的工具和方法来实施安全的数据交付基础设施。

Many Canadian hospitals are developing data warehouses (DW) that integrate clinical and administrative data with multiple sources to support decision makers and researchers in improving the effectiveness of health services. Decision support systems (DSS) can be used to monitor hospital processes related to antibiotics utilization* patient discharge, and adverse events, and enable appropriate action. However, providing consistent, timely and secure access to decision support in a systematic manner to address hospital quality control is not well understood. Compliance with privacy legislation, hospital policies, and ethics rules is problematic and integration into existing business processes is complex. The long-term goal of the proposed research is to improve hospital quality control by developing methodologies, with tool support, for securely delivering the right performance management analyses, reports and data to the right clinicians' health researchers and administrators in a comprehensive fashion throughout hospital business processes. Our approach will combine research in clinical decision support, hospital quality protocols* data warehousing, business process modeling, privacy and secure data delivery in a novel way that addresses these issues up front and investigates how best to integrate this combination into day-to-day hospital operations at the point of care. We will evaluate our research against different healthcare business processes in, at least two different hospitals in two different provinces. These contributions will not only have a direct impact on tbe.hospitals involved but also on other healthcare faciitties across Canada that are developing new DWs. End users will more easily access relevant performance and clinical information to Improve quality of care, and IT personnel will take advantage of our tools and methodologies to implement secure data delivery infrastmcture.