Benson R, Harp N
Benson Consulting, Inc., Seattle.
Qual Lett Healthc Lead. 1994 Jul-Aug;6(6):17-24.
Traditional CQI tools have proven effective in improving discrete processes, but the strengths of these tools often render them inappropriate to improve complex systems made up of multiple processes. After finding that CQI tools failed to reduce emergency department waiting times, a QI team applied systems thinking tools and learned that the cause of delays was rooted in interrelationships among processes, such as the impact on laboratory testing when emergent and routine patients arrived back to back. Computer modeling allowed the team to reject some quick fixes--such as adding ED beds--that simulations showed would be ineffective. By reorganizing patient flow and automating hospitalwide bed control, the team so far has reduced waiting times 19 percent and increased patient satisfaction despite an increase in census.
传统的持续质量改进(CQI)工具已被证明在改进离散流程方面有效,但这些工具的优势往往使其不适用于改进由多个流程组成的复杂系统。在发现CQI工具未能缩短急诊科候诊时间后,一个质量改进团队应用了系统思维工具,并了解到延误的原因源于流程之间的相互关系,比如急症患者和常规患者接踵而至时对实验室检测的影响。计算机建模使该团队摒弃了一些诸如增加急诊床位等的权宜之计,模拟显示这些措施是无效的。通过重新规划患者流程并实现全院床位控制自动化,该团队目前已将候诊时间缩短了19%,尽管就诊人数增加,但患者满意度仍有所提高。