Validation of the Algorithmic Prediction of Failure Modes in Health Care Methodology: Applied to the Department of Sterile Supply and Equipment.

IF 1 4区 医学 Q4 HEALTH CARE SCIENCES & SERVICES
Ayala Kobo-Greenhut, Ortal Sharlin, Tatyana Fishman, Liron Daniel, Hilel Frankenthal, Vered H Eisenberg, Eyal Zimlichman, Dina Orkin
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引用次数: 0

Abstract

Failure mode and effect analysis (FMEA) is a leading tool for risk management in health care. The term "blanket" approach FMEA describes a comprehensive simultaneous look at the variety of interrelated factors that may directly and indirectly affect patient safety. Applying FMEA with the "blanket" approach is not common, due to FMEA's limitations. Algorithmic prediction of failure modes in health care (APFMH) is leaner and enables the application of the "blanket" approach, but, like FMEA, it lacks formal validation. The authors set out to validate the APFMH method while applying a "blanket" approach. They analyzed the sterile supply handling at a 1900-bed academic medical center. The study's first step took place in the operating room (OR) aspect of the process. An APFMH analysis was performed using the "blanket" approach, to identify the hazards and define the common root causes for predicted hazards. The second step took place a year later at the sterile supply and equipment department (SSED) and aimed to validate these root causes, thus validating the reliability of APFMH. The "blanket" approach analysis with the APFMH method consisted of categorization into 3 risk-dimensions: patient safety, equipment damage, and time management. Root causes were defined for 8 high-ranking hazards. All the root causes for failures, identified by APFMH at the OR department, were revealed as actual hazards in the processes of the SSED. The independent findings at the SSED level validated the list of identified hazards that was formed at the target department (ie, the OR). APFMH methodology is a lean in time and human resources process that ensures comprehensive hazard analysis, which can include the "blanket" approach, and which was validated in this study. The authors suggest using the APFMH methodology for any organizational analysis method that requires the inclusion of "blanket" approaches.

卫生保健方法学中失效模式预测算法的验证:应用于无菌供应与设备科。
失效模式和效果分析(FMEA)是医疗保健风险管理的主要工具。术语“一揽子”方法FMEA描述了对可能直接或间接影响患者安全的各种相互关联因素的综合同时观察。由于FMEA的局限性,采用“一揽子”方法应用FMEA并不常见。医疗保健失效模式的算法预测(APFMH)更精简,可以应用“一揽子”方法,但是,像FMEA一样,它缺乏正式的验证。作者开始在应用“一揽子”方法的同时验证APFMH方法。他们分析了一家拥有1900张床位的学术医疗中心的无菌供应处理情况。研究的第一步是在手术室(OR)进行的。使用“一揽子”方法进行APFMH分析,以识别危害并确定预测危害的常见根本原因。第二步是一年后在无菌供应和设备部门(sed)进行的,目的是验证这些根本原因,从而验证APFMH的可靠性。采用APFMH方法的“一揽子”方法分析包括将风险分为3个维度:患者安全、设备损坏和时间管理。确定了8种高级别危害的根本原因。APFMH在手术室部门确定的所有失败的根本原因,都被揭示为在sed过程中的实际危害。在sed水平上的独立调查结果验证了目标部门(即手术室)形成的已识别危险列表。APFMH方法是一种节省时间和人力资源的方法,可确保全面的危害分析,其中可以包括“一揽子”方法,并在本研究中得到验证。作者建议将APFMH方法用于任何需要包含“一揽子”方法的组织分析方法。
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
CiteScore
1.90
自引率
7.10%
发文量
124
审稿时长
6-12 weeks
期刊介绍: The American Journal of Medical Quality (AJMQ) is focused on keeping readers informed of the resources, processes, and perspectives contributing to quality health care services. This peer-reviewed journal presents a forum for the exchange of ideas, strategies, and methods in improving the delivery and management of health care.
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