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Improving Initiation and Tracking of Research Projects at an Academic Health Center: A Case Study

机译:改善学术保健中心研究项目的启动和跟踪:案例研究

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摘要

Research service cores at academic health centers are important in driving translational advancements. Specifically, biostatistics and research design units provide services and training in data analytics, biostatistics, and study design. However, the increasing demand and complexity of assigning appropriate personnel to time-sensitive projects strains existing resources, potentially decreasing productivity and increasing costs. Improving processes for project initiation, assigning appropriate personnel, and tracking time-sensitive projects can eliminate bottlenecks and utilize resources more efficiently. In this case study, we describe our application of lean six sigma principles to our biostatistics unit to establish a systematic continual process improvement cycle for intake, allocation, and tracking of research design and data analysis projects. The define, measure, analyze, improve, and control methodology was used to guide the process improvement. Our goal was to assess and improve the efficiency and effectiveness of operations by objectively measuring outcomes, automating processes, and reducing bottlenecks. As a result, we developed a web-based dashboard application to capture, track, categorize, streamline, and automate project flow. Our workflow system resulted in improved transparency, efficiency, and workload allocation. Using the dashboard application, we reduced the average study intake time from 18 to 6 days, a 66.7% reduction over 12 months (January to December 2015).
机译:学术保健中心的研究服务核心在驾驶翻译进步方面非常重要。具体而言,生物统计学和研究设计单元提供数据分析,生物统计学和学习设计的服务和培训。然而,向时间敏感项目分配适当的人员的需求和复杂性越来越大,潜在地降低生产力和增加成本。改进项目启动的流程,指派适当的人员以及跟踪时间敏感项目可以消除瓶颈并更有效地利用资源。在本案研究中,我们描述了我们依赖六西格玛原则在我们的生物统计学单元中应用,以建立用于研究设计和数据分析项目的进气,分配和跟踪的系统持续的过程改进循环。使用定义,测量,分析,改进和控制方法来指导过程改进。我们的目标是通过客观测量结果,自动化过程和减少瓶颈来评估和提高运营的效率和有效性。因此,我们开发了一种基于Web的仪表板应用程序,用于捕获,跟踪,分类,流线和自动化项目流程。我们的工作流系统导致透明度,效率和工作负载分配提高。使用仪表板申请,我们将平均研究摄入时间从18日降至6天,超过12个月减少66.7%(2015年1月至12月)。

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