Suppr超能文献

一种通过医疗失效模式与效应分析(HFMEA)流程改进生理监测仪的运行维护方法:一项实证案例研究。

An operational maintenance approach for improving physiological monitor by HFMEA process: an empirical case study.

作者信息

Chia Jen-Shu, Chang Ching, Yang Chen-Hsuan, Yang Ching-Hui, Chiang Yung-Tai, Wu Cheng-En

机构信息

Program of Technology Management.

Department of Business Administration, College of Management.

出版信息

Ann Med Surg (Lond). 2023 Jul 7;85(8):3916-3924. doi: 10.1097/MS9.0000000000001064. eCollection 2023 Aug.

Abstract

UNLABELLED

This study explored the application of healthcare failure mode and effect analysis (HFMEA) to identify and evaluate risk-associated factors in the intensive care unit (ICU) through a clinical-based expert knowledge (decision) for the physiological monitor operational maintenance process.

METHODS AND INTERVENTION

A mixed qualitative and quantitative proactive approach to explore the HFMEA process by analyzing 20 units of physiological monitors in the ICU. An HFMEA expert team of six people was formed to perform a risk-based analysis and evaluate the potential hazard index, mitigating the hazard scores and risks.

RESULTS

From the main processes and possible failure reasons, one high-risk hazard index greater than or equal to 8 of the standard score was found. This standard score indicates the signed manufacturer's contract for maintenance was the hazard index failure mode on the parts not regularly replaced according to the contract. This systematic hazard index failure mode shows the highest hazard scores in the possible failure reason category, established as a standard maintenance procedure. In addition, the HFMEA expert analysis of the 20 units of physiological monitors within 6 months of the original and remanufactured part maintenance results in operational availability from 90.9% for self-repair to 99.2% for contract manufacturer repair.

CONCLUSIONS

This study concludes a systematic reference in malpractices caused by maintenance negligence. The HFMEA expert team agrees that hazard failure scores greater than or equal to 8 are vital assessments and evaluations for decision-making, especially in maintaining healthcare intensive unit care physiological monitors.

摘要

未标注

本研究通过基于临床的专家知识(决策),探讨了医疗失效模式与效应分析(HFMEA)在重症监护病房(ICU)生理监测仪操作维护过程中识别和评估风险相关因素的应用。

方法与干预

采用定性与定量相结合的前瞻性方法,通过分析ICU中的20台生理监测仪来探索HFMEA过程。组建了一个由六人组成的HFMEA专家团队,进行基于风险的分析并评估潜在危害指数、减轻危害得分和风险。

结果

从主要流程和可能的故障原因来看,发现了一个标准得分大于或等于8的高风险危害指数。该标准得分表明,制造商签订的维护合同中,未按合同定期更换部件的危害指数是失效模式。这种系统性的危害指数失效模式在可能的故障原因类别中显示出最高的危害得分,被确立为标准维护程序。此外,HFMEA专家对20台生理监测仪在原厂和再制造部件维护6个月内的分析结果显示,操作可用性从自行维修的90.9%提高到合同制造商维修的99.2%。

结论

本研究得出了关于维护疏忽导致的不当行为的系统性参考。HFMEA专家团队一致认为,大于或等于8的危害失效得分是决策的重要评估指标,尤其是在维护重症监护病房的生理监测仪时。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b56d/10405987/ab8cf42a6486/ms9-85-3916-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验