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多因素模型和层次分析法构建医疗设备预防性维护培训科目 被引量:4

A construction of training tasks about preventive maintenance for medical devices by multi-factor model and analytic hierarchy process
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摘要 目的:基于多因素模型和层次分析法(AHP),构建医疗设备预防性维护培训科目。方法:针对医院临床常见的8个医疗设备预防性维护项目进行分析,通过多因素模型联合层次分析法,设计合理的医疗设备预防性维护培训科目,并结合危险困难频率(CDF)决策树模型对判断标准进行对照。多因素模型将专业培训科目的标准分值设定为2.5分,≥2.5分需要进行专业培训,<2.5分则无需进行专业培训。结果:在多因素模型评分的8个科目中,有5个科目的分值均>2.5分,需要进行专业培训,与CDF决策树模型分析结果一致。结论:多因素模型结合层次分析法对于设置合理的医疗设备防护性维护培训科目具有重要的作用,为后续规范化培训科目的设置提供理论依据。 Objective: To construct the training tasks about preventive maintenance for medical devices based on multi-factor model and analytic hierarchy process(AHP). Methods: The preventive maintenance items of 8 general medical devices were analyzed in the research. Through carried out multi-factor model and analytic hierarchy process to design reasonable training subjects for preventive maintenance of medical devices, and through combined with decision-making tree model of criticality difficulty frequency(CDF) to implement the contrast with judgment standard. Multi-factor model set 2.5 score as the standard score of professional training subjects, and subject need carry out professional training if score ≥2.5, otherwise it needn't. Results: In the grading of 8 subjects of multi-factor model, the scores of 5 subjects were more than 2.5 score, and they need implement professional training. This result was coincidence with the analysis result of decision-tree model of CDF. Conclusion: The analysis method of multifactor model and analytic hierarchy process has important value for setting reasonable training subject for preventive maintenance of medical device, and it can provide theoretical basis for setting standardized training subject in future.
作者 孙艳 王洪岗 公冶令凯 SUN Yan;WANG Hong-gang;GONGYE Ling-kai(Department of Medical Equipment,Jining No.1 People's Hospital,Jinan 272000,China)
出处 《中国医学装备》 2018年第6期123-126,共4页 China Medical Equipment
关键词 多因素模型 层次分析法 医疗设备 预防性维护 CDF决策树模型 培训 Multi-factor model Analytic hierarchy process Preventive maintenance Medical device Decision trees model of criticality difficulty frequency (CDF) Training
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