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Measuring the impact of process improvement programs on the performance of hospitals in Mid-Atlantic region using data envelopment analysis.

机译：使用数据包络分析来衡量过程改进计划对中大西洋地区医院绩效的影响。

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摘要

Hospitals, like many industries, are under great competition and cost control. Hospital leaders are responding to these environmental factors by becoming more efficient in their operations coupled with improving quality and patient satisfaction. According to Ozcan (2008), the health care industry lacks in adequate decision making strategies and performance to maintain competitive market position and understand which hospital is the best practice. Additionally, many companies and hospitals embark on process improvement initiatives, but lack evidence that these programs result in high efficiency. The inspiration for this research project was galvanized from this 21st century challenging dynamic and supported by Sherman and Zhu's (2012) article, which analyses the performance of service organizations. These factors along with the Sherman and Zhu article Analyzing Performance in Service Organizations was the inspiration for this research. The research investigates the impact of quality improvement programs on the overall efficiency of hospitals. The study uses Data Envelopment Analysis (DEA) to understand hospital efficiency and employ a survey to understand the hospital's process improvement implementation. The research also collects hospital characteristics such as (a) hospital size, (b) location, and (c) ownership type. The analysis uses 2-Way ANOVA to test the association between process improvement implementation and efficiency of 32 hospitals in the Mid Atlantic region of the United States. The process improvement implementation is assessed from the top management prospective of each of the hospitals. The efficiency of each hospital is evaluated using DEA BCC input oriented model. The findings of this research indicate that (1) process improvement programs are widespread in the hospitals in the Mid Atlantic region, (2) hospitals with highest implementation of process improvement showed increases in the hospital's efficiency regardless of size, location, or ownership type, (3) Data Envelopment Analysis is a practical tool to monitor process improvement practices and identify best practices in a hospital setting.
机译：像许多行业一样，医院也面临着激烈的竞争和成本控制。医院领导者正在通过提高运营效率，提高质量和患者满意度来应对这些环境因素。根据Ozcan（2008）的研究，医疗保健行业缺乏足够的决策策略和绩效来维持竞争性市场地位并了解哪家医院是最佳实践。此外，许多公司和医院都在着手进行过程改进计划，但缺乏证据表明这些程序可以提高效率。该研究项目的灵感来自21世纪充满挑战的动态，并得到Sherman和Zhu（2012）的文章的支持，该文章分析了服务组织的绩效。这些因素以及Sherman和Zhu的文章“分析服务组织的绩效”是本研究的灵感。该研究调查了质量改进计划对医院整体效率的影响。该研究使用数据包络分析（DEA）来了解医院的效率，并使用一项调查来了解医院的流程改进实施。该研究还收集了医院的特征，例如（a）医院规模，（b）位置和（c）所有权类型。该分析使用2-Way方差分析来测试过程改进实施与美国中大西洋地区32家医院效率之间的关联。从每家医院的高层管理人员那里评估过程改进的实施。使用DEA BCC输入导向模型评估每个医院的效率。这项研究的发现表明：（1）中大西洋地区的医院普遍采用了流程改进计划，（2）流程改进实施最高的医院表明，无论规模，位置或所有权类型，医院的效率都有所提高， （3）数据包络分析是一种实用的工具，可以监视过程改进实践并确定医院环境中的最佳实践。

著录项

  • 作者

    Gollhofer, Robert Edward.;

  • 作者单位

    Capella University.;

  • 授予单位 Capella University.;
  • 学科 Health care management.
  • 学位 D.B.A.
  • 年度 2016
  • 页码 132 p.
  • 总页数 132
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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