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Using a multidisciplinary data approach to operationalize an experience framework

机译:使用多学科数据方法来运营体验框架

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Like many healthcare organizations, Baylor Scott & White Health (BSWH) is awash with data. Often, this data is used in siloed departments to monitor safety and quality, make local business decisions, and motivate staff to improve processes to achieve sustained excellence and market share. As margins get thinner and competition from various disrupters increases, organizations have tried to improve the patient experience to remain viable as part of a calculated strategy. Nevertheless, these entities have struggled to focus limited resources for sustained improvement in patient experience. This article details how a large Texas-based healthcare system "operationalized" The Beryl Institute's Experience Framework via a multidisciplinary data approach. "Key gaps" that negatively impact the patient experience were identified using 99 data elements from common, readily available sources. Demonstrating the interconnected nature of the data has proven to be essential in engaging leaders to view the patient experience as an essential component to providing quality care. This crucial support from senior leaders drives efforts to safety, quality, and experience. A plan for how this approach can be implemented in any organization is shared, along with a discussion on sustainability, the use of these tools in an organization's improvement journey, and how it can help create higher-performing care teams. Limitations and future opportunities for enhancements to the approach are also provided.
机译:像许多医疗保健组织,Baylor Scott&白色健康(BSWH)是令人敬畏的数据。通常,这种数据用于友好部门,监测安全和质量,使当地的商业决策,以及激励员工改进进程,以实现持续卓越和市场份额。随着利润率变薄和从各种破坏者的竞争增加,组织试图改善患者体验,以便作为计算策略的一部分保持可行。尽管如此,这些实体努力关注有限的资源,以持续改进患者体验。本文详细介绍了大型德克萨斯州的医疗保健系统如何通过多学科数据方法“运作”Beryl Institute的体验框架。对患者体验产生负面影响的“关键差距”是使用来自普通,易用来源的99个数据元素来确定的。展示数据的相互联系的性质已被证明是为了从事领导者,以将患者经历视为提供优质护理的重要组成部分。高级领导人的这一重要支持将努力安全,质量和经验。如何在任何组织中实现如何在任何组织中实施这种方法的计划,同时讨论可持续性,在组织的改进旅程中使用这些工具以及它如何帮助创建更高性能的护理团队。还提供了对方法的提高的限制和未来机会。

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