Use of Lean Management Methodology to Reduce the Rate of Unfinished Nursing Care in the Emergency Observation Room: A Quality Improvement Project

Author:

Yang Lixia,Zhen Cuixiang,Yao Yao

Abstract

Background and Objectives: The integration of lean management in optimizing nursing workflow necessitates the careful examination of several factors, including nurses’ work efficiency, patient experience, and health outcomes. To evaluate the extent of unfinished nursing care and patient satisfaction, we have incorporated the lean management approach into our quality improvement efforts. This proactive measure aims to address potential adverse outcomes, such as subpar inpatient experiences, escalated occurrence of adverse events, and decreased job satisfaction among nursing staff. Methods: We utilized the lean management methodology of value stream mapping in a specific facility between February and August 2021, aiming to pinpoint the crucial areas for enhancing nurses’ workflow. By employing fishbone diagrams, we thoroughly analyzed the underlying causes, and subsequently employed the Plan-Do-Study-Act model to execute interventions devised based on these identified causes. Interventions included: (1) specifying the time of doctors’ conventional rounds; (2) changing unreasonable scheduling; (3) employing 5S management to manage nursing supplies; and (4) eliminating duplicate papers and electronic reports. Results: After implementing these interventions, the rate of unfinished nursing reduced from 73.4% to 39.6%, and that of finished nursing care during the shift increased from 38.6% to 71.4%. Overtime was reduced from 37.2 ± 22.4 minutes to 14.1 ± 3.6 minutes. The total patient satisfaction score for the Patient Satisfaction Questionnaire short-form increased (P < .05). Conclusions: The lean management of quality improvement methodologies provides effective enhancement to the work efficiency of nurses.

Publisher

Ovid Technologies (Wolters Kluwer Health)

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3