【摘要】 目的：研究基于数据、信息、知识和智慧(DIKW)模型的医院大型医疗设备全生命周期管理智慧决策路径，分析其应用成效，为医疗设备高效管理提供借鉴。方法：基于DIKW模型，从数据收集整合、信息分析处理、知识转换应用和智慧决策形成等路径层面，实现对大型医疗设备全生命周期管理。选取2022年1月至2024年2月上海交通大学医学院附属新华医院临床在用的用于疾病诊断与治疗的37台大型医疗设备，根据设备管理模式不同，2022年1月至2023年1月采用常规管理模式进行设备管理，2023年2月至2024年2月采用基于DIKW模型的医院大型医疗设备全生命周期管理智慧决策路径模式(模型管理模式)进行设备管理，对比两种管理模式的设备管理指标评分、临床服务质量、设备管理及时性和设备风险发生率。结果：采用模型管理模式的大型医疗设备资源配置、信息技术、技术支持和综合绩效评分分别为(95.69±3.44)、(94.33±4.33)、(93.78±4.55)和(94.55±3.66)分，均高于常规管理模式，差异均有统计学意义(t=13.663、12.986、11.235、12.354,P<0.05)；平均设备运行率、质量检测合格率和故障处理率均值均高于常规管理模式，差异均有统计学意义(t=12.963、13.152、12.835,P<0.05)；设备故障提前预警时长、设备维修时长和设备信息推送时长均短于常规管理模式，差异均有统计学意义(t=15.156、13.285、12.854,P<0.05)；设备损坏率和维修率均低于常规管理模式，差异均有统计学意义(x~2=12.678、10.209,P<0.05)。结论：基于DIKW模型的医院大型医疗设备全生命周期管理智慧决策路径在医院大型医疗设备全生命周期管理中的应用，可提高设备各项管理指标评分，提升设备临床服务质量，实现设备及时性管理，降低设备风险发生率。更多还原

【Abstract】 Objective: To research intelligent decision path based on data, information, knowledge and wisdom(DIKW) model in whole life cycle management for large-scale medical equipment in hospitals, and analyze its application effectiveness, so as to provide references for efficient managing medical equipment. Methods: Based on the DIKW model, the whole life cycle management for large-scale medical equipment was achieved from some pathway aspects included data collection and integration, analyzing and processing information, transformation and application of knowledge, as well as the formation of intelligent decisions. This study selected 37 large-scale medical equipment that were used in clinical diagnosis and treatment for disease at Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine from January 2022 to February 2024. As different management mode for equipment, the equipment that were used during January 2022 and January 2023 were managed by conventional mode, and the equipment that were used during February 2023 and February 2024 were managed by wisdom decision path mode based on DIKW model in whole life cycle management for large-scale medical equipment in hospital(model management mode). The scores of management indicators of equipment, clinical service quality, timeliness of managing equipment, and incidences of equipment’s risk of two kinds of management modes were compared. Results: The scores of resource allocation, information technique, technical support and comprehensive performance of large-scale medical equipment of adopting model management mode were respectively(95.69±3.44) points,(94.33±4.33) points,(93.78±4.55) points and(94.55±3.66) points, all of which were significantly higher than those of the conventional management mode, and the differences were significant(t=13.663, 12.986, 11.235, 12.354, P<0.05). The average operational rate, pass rate of quality inspection, and handling rate of fault of the large-scale medical equipment of the model management mode were higher than those of the conventional management mode, and the differences were significant(t=12.963, 13.152, 12.835, P<0.05). The durations of early warning for faults, maintenance, and information push for large-scale medical equipment of adopting model management mode were significantly shorter than those of adopting the conventional management mode(t=15.156, 13.285, 12.854, P<0.05). The damage rate and maintenance rate of large-scale medical equipment of adopting model management mode were significantly lower than those of adopting conventional management mode(x~2=12.678, 10.209, P<0.05). Conclusion: The application of wisdom decision path based on DIKW model in whole life cycle management for large-scale medical equipment in hospital can improve the scores of each management indicator of large-scale medical equipment, and enhance the clinical service quality of these equipment, and achieve timely management for them, and reduce the incidence of equipment risks.更多还原