Reducing medical equipment downtime using Lean Six Sigma: a quality improvement project at Suhul Hospital, Shire.

IF 2.1 Q4 HEALTH CARE SCIENCES & SERVICES
Hawelti Messele Gebremariyam
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Abstract

Medical equipment downtime is a major challenge in healthcare facilities, often driven by mechanical and electrical failures, delayed fault reporting and the absence of structured preventive maintenance. At Suhul Hospital, Shire, these issues were compounded by human error, outdated maintenance practices, limited standards and shortages of spare parts, leading to prolonged equipment unavailability and disrupted patient care.This project applied a Lean Six Sigma (LSS) approach to address these inefficiencies. Key tools included 5S practices, detailed process mapping, corrective maintenance standardisation and a structured preventive maintenance plan. A mixed-methods design was used, combining document review with semi-structured interviews involving 18 purposively selected professionals with at least a diploma and 4 years of relevant experience. Quantitative measures focused on downtime, defects and process capability, while qualitative data explored root causes and waste within the maintenance workflow.Implementation of Lean Six Sigma produced substantial improvements in medical equipment maintenance performance. Total equipment downtime decreased from 89,735 minutes to 292 minutes, while recorded defects decreased from 842 to 43. Overall, downtime decreased by 99.67%, defects by 94.89% and the Sigma level improved from 2.74 to 3.62, indicating a shift from low to moderate process reliability.These findings demonstrate that structured quality improvement methods can significantly enhance the efficiency and reliability of medical equipment maintenance in resource-constrained settings. While the intervention was successful, the project was limited to a single hospital, and further multi-site studies are recommended to strengthen generalisability.

使用精益六西格玛减少医疗设备停机时间:在Suhul医院,夏尔的质量改进项目。
医疗设备停机是医疗机构面临的主要挑战,通常是由机械和电气故障、延迟的故障报告和缺乏结构化预防性维护造成的。在夏尔的Suhul医院,这些问题由于人为错误、过时的维护做法、有限的标准和备件短缺而复杂化,导致设备长期无法使用和病人护理中断。本项目采用精益六西格玛(LSS)方法来解决这些低效率问题。主要工具包括5S实践、详细的过程映射、纠正性维护标准化和结构化的预防性维护计划。采用混合方法设计,结合文献回顾和半结构化访谈,有目的地选择18名至少具有文凭和4年相关经验的专业人员。定量测量侧重于停机时间、缺陷和过程能力,而定性数据则探索维护工作流程中的根本原因和浪费。精益六西格玛的实施大大提高了医疗设备的维护性能。设备总停机时间从89,735分钟减少到292分钟,而记录的缺陷从842减少到43。总的来说,停机时间减少了99.67%,缺陷减少了94.89%,Sigma水平从2.74提高到3.62,这表明了过程可靠性从低到中等的转变。这些研究结果表明,在资源受限的情况下,结构化的质量改进方法可以显著提高医疗设备维修的效率和可靠性。虽然干预措施取得了成功,但该项目仅限于一家医院,建议进一步进行多地点研究,以加强推广。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
BMJ Open Quality
BMJ Open Quality Nursing-Leadership and Management
CiteScore
2.20
自引率
0.00%
发文量
226
审稿时长
20 weeks
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