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Improving Medication Adherence in a Regional Healthcare Information Exchange using a Scalable Claims-Driven and Service-Oriented Approach

机译:使用可扩展声明驱动和面向服务的方法来改善区域医疗保健信息交换中的药物依从性

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摘要

Evidence-based pharmacotherapy is a central aspect of optimal patient care for many chronic conditions. However, medication non-adherence frequently inhibits the attainment of optimal pharmacotherapy regimens. In this study, we designed, developed, and implemented a multifaceted clinical decision support (CDS) intervention that supports evidence-based pharmacotherapy and enhanced medication adherence through the use of a scalable, claims-driven, and service-oriented approach. The intervention includes a medication management report and a low adherence alert based on thirteen evidence-based pharmacotherapy rules for seven chronic conditions. Reports and alerts are delivered to primary care clinics and care managers that participate in a healthcare information exchange in North Carolina. The resulting system architecture may enable this CDS intervention to be widely disseminated to healthcare networks through an open-source model.
机译:循证药物治疗是许多慢性病患者最佳护理的重要方面。但是,药物不依从性经常会抑制最佳药物治疗方案的获得。在这项研究中,我们设计,开发和实施了多方面的临床决策支持(CDS)干预措施,该干预措施通过使用可扩展的,基于声明的驱动和面向服务的方法,支持基于证据的药物治疗和增强的药物依从性。干预措施包括药物治疗报告和针对13种循证药物治疗七个慢性病的依从性低警告。报告和警报将发送给参与北卡罗来纳州医疗保健信息交换的初级保健诊所和护理经理。由此产生的系统架构可以使这种CDS干预通过开源模型广泛地传播到医疗网络。

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