The run chart: a simple analytical tool for learning from variation in healthcare processes
The run chart: a simple analytical tool for learning from variation in healthcare processes
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运行图：从医疗流程差异中学习的简单分析工具
DOI：
10.1136/bmjqs.2009.037895
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发表时间：
2011-01-01
影响因子：
5.4
通讯作者：
Murray, Sandy K.
中科院分区：
文献类型：
--
作者：
Perla, Rocco J.;Provost, Lloyd P.;Murray, Sandy K.
背景资料：如今，从事医疗保健工作的人比以往任何时候都面临着更大的挑战，他们需要快速有效地从数据中学习，以改善他们的服务和医疗服务。人们普遍认为，在一线工作的医疗保健专业人员从按时间顺序呈现的数据的可视化显示中受益匪浅。目的：描述运行图-一种通常由专业人员在质量改进中使用但在医疗保健中未得到充分利用的分析工具。方法：一种标准的施工方法，在统计过程控制文献的基础上，开发了用于医疗保健应用的运行图的使用和解释。运行图使我们能够客观地了解随着时间的推移我们对流程或系统所做的更改是否会带来改进，并且以最小的数学复杂性来实现。这种分析和报告数据的方法对于改进项目和团队来说，比传统的忽略时间顺序的聚合汇总统计数据更有价值。由于其实用性和简单性，运行图在医疗保健从业者和决策者中具有广泛的潜在应用。运行图还为更复杂的分析和学习方法提供了基础，例如Shewhart（控制）图和计划实验。
Background: Those working in healthcare today are challenged more than ever before to quickly and efficiently learn from data to improve their services and delivery of care. There is broad agreement that healthcare professionals working on the front lines benefit greatly from the visual display of data presented in time order.Aim: To describe the run chart-an analytical tool commonly used by professionals in quality improvement but underutilised in healthcare.Methods: A standard approach to the construction, use and interpretation of run charts for healthcare applications is developed based on the statistical process control literature.Discussion: Run charts allow us to understand objectively if the changes we make to a process or system over time lead to improvements and do so with minimal mathematical complexity. This method of analyzing and reporting data is of greater value to improvement projects and teams than traditional aggregate summary statistics that ignore time order. Because of its utility and simplicity, the run chart has wide potential application in healthcare for practitioners and decision-makers. Run charts also provide the foundation for more sophisticated methods of analysis and learning such as Shewhart (control) charts and planned experimentation.