James Camille
Parkland College, Champaign, IL, USA.
Hosp Top. 2005 Winter;83(1):2-8. doi: 10.3200/HTPS.83.1.2-8.
In this article, the author provides an account of the benefits of using Statistical Process Control and Six Sigma to measure and improve healthcare quality. Through data analysis, the process variations that diminish quality can be evaluated and minimized. W. Edwards Deming's management theory taught that variation reduction enabled continuous improvement and that statistical methods were the key to achieving this. Although the methodology was created for the manufacturing environment, service industry professionals have discovered its value for objective, data-driven decision making.
在本文中，作者阐述了使用统计过程控制和六西格玛来衡量和提高医疗质量的益处。通过数据分析，可以评估并最小化降低质量的过程变异。W. 爱德华兹·戴明的管理理论认为，减少变异可实现持续改进，而统计方法是实现这一目标的关键。尽管该方法是为制造环境创建的，但服务业专业人士已发现其对客观的、数据驱动型决策的价值。
