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种来源相结合，以支持决策者和研究人员提高卫生服务的有效性。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，并采取适当行动。然而，以系统的方式提供一致、及时和安全的决策支持，以解决医院质量控制问题，这一点尚未得到很好的理解。遵守隐私立法、医院政策和道德规则是有问题的，集成到现有业务流程中也很复杂。拟议研究的长期目标是通过开发方法和工具支持来改善医院质量控制，以便在整个医院业务流程中以全面的方式安全地向合适的临床医生、健康研究人员和管理人员提供正确的绩效管理分析、报告和数据。我们的方法将结合临床决策支持、医院质量协议*数据仓库、业务流程建模、隐私和安全数据交付方面的研究，以一种新颖的方式预先解决这些问题，并研究如何最好地将这些组合整合到医院的日常护理点操作中。我们将针对两个不同省份的至少两家不同医院的不同医疗保健业务流程评估我们的研究。这些贡献不仅会对……产生直接影响。涉及的医院，以及加拿大各地正在开发新DWs的其他医疗保健机构。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现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.