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作 者:李加敏 吴昊琪 郝玉芳[3] 王志稳[4] 吴欣娟 LI Jiamin;WU Haoqi;HAO Yufang;WANG Zhiwen;WU Xinjuan
机构地区:[1]杭州师范大学护理学院,杭州市311121 [2]北京协和医学院护理学院 [3]北京中医药大学护理学院 [4]北京大学护理学院 [5]中国医学科学院北京协和医院护理部
出 处:《中华护理杂志》2025年第7期827-831,共5页Chinese Journal of Nursing
基 金:杭州师范大学科研启动基金(4285C50224204084)。
摘 要:目的利用大数据与现代信息技术构建并评估ICU患者体位变换频率临床决策支持系统,以提升ICU护理质量。方法2023年2月—8月,成立系统研究团队,并基于3988例ICU患者的数据构建评估不同类型体位变换频率对压力性损伤发生率影响的数据模型;基于数据模型设计、开发包含患者特征录入、数据分析与结果查询、决策记录及患者档案管理模块的决策支持系统。2023年9月—11月,便利选取青岛市1所三级甲等医院的ICU护士应用该系统,并采用系统可用性量表评价系统的可用性。结果构建的决策支持系统能够根据输入的患者特征信息,结合数据模型的计算结果,呈现患者被给予7种不同体位变换频率的结局。共85名护士参与系统可用性评估,系统可用性量表得分为(64.22±13.9)分。结论构建的ICU患者体位变换频率临床决策支持系统在科学性及可用性方面表现良好,可以为临床护士对患者实施个性化体位变换频率提供参考。Objective This study aims to construct and evaluate a clinical decision support system for individualized frequency repositioning in ICU patients using big data and modern information technology,with the goal of improving ICU nursing quality.Methods From February to August 2023,a dedicated research team was established to construct a data model based on real-world data from 3,988 ICU patients,assessing the impact of different position change frequencies on the incidence of pressure injuries.Based on this model,a decision support system was designed and developed,incorporating modules for personalized patient characteristics input,data analysis and result queries,decision recording,and patient file management.From September to November 2023,ICU nurses at a tertiary hospital in Qingdao city was selected to use the system.A usability survey was conducted using the System Usability Scale(SUS)to evaluate the system’s usability.Results The constructed decision support system can display the outcomes for patients under 7 different position change frequencies based on the input of personalized patient characteristics and the calculation results from the data model,providing precise decision support for nurses.A total of 85 nurses participated in the system usability evaluation,with the SUS score of 64.22±13.9.Conclusion The constructed individualized frequency of repositioning decision support system for ICU patients demonstrates good scientific validity and usability,providing clinical nurses with a valuable reference for implementing personalized position change frequencies for patients.
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