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作 者:张咏梅 王萍[1] 卞薇薇[1] 季萍萍 侯黎莉 ZHANG Yongmei;WANG Ping;BIAN Weiwei;JI Pingping;HOU Lili(Department of Nursing,Shanghai Ninth People’s Hospital,Shanghai Jiao Tong University School of Medicine,Shanghai 200011,China)
机构地区:[1]上海交通大学医学院附属第九人民医院护理部,上海市200011
出 处:《组织工程与重建外科》2023年第4期402-407,共6页Journal of Tissue Engineering and Reconstructive Surgery
基 金:上海交通大学中国医院发展研究院项目(CHDI-2022-B-16)。
摘 要:目的开发基于5G物联网技术的患者安全智能预警系统,探讨其在整复外科护理工作中的应用效果。方法组建研究开发小组,构建患者安全智能预警系统,利用文献检索和德尔菲专家咨询法,筛选患者安全预警指标,构建安全指标智能预警模块,利用5G网络将构建的安全指标评估内容及所涉及的物连设备与研发的预警系统相整合。人员培训后,患者安全智能预警系统在整复外科病区应用,在系统应用前及应用后2个月统计住院患者潜在并发症的发现率、术后并发症及不良事件发生率,对分级护理质量进行评分,并自行设计问卷对医护人员进行该系统的满意度调查。结果患者安全智能预警系统应用后,患者潜在并发症的发现率显著提高(P<0.05);该系统应用后,患者术后并发症及不良事件发生率有所下降,但未见显著性差异(P>0.05);该系统应用后分级护理质量得分由97分提高到99分;医护人员对患者安全智能预警系统的整体满意度得分为(4.59±0.49)分。结论基于5G物联网技术构建的患者安全智能预警系统,可以提高患者潜在并发症的发现率,增强医护对患者安全风险的预见性及安全风险管理意识,促进临床干预措施的及时跟进,保障患者安全。Objective To develop the patient safety smart warning system based on 5G internet of things technology,and to explore its application effect in the Plastic and Reconstructive Surgery nursing.Methods The patient safety smart warning system was constructed based on research group establishing,literature research and Delphi study,then patient safety warning indicators were screened and modules were built.Based on 5G network,the patient safety indicators and the connected equipment involved were integrated with the system.Then the system was applied in plastic and reconstructive surgery ward after staff training.Two months before and after the application of the system,the postoperative complications,incidence of adverse events and discovery rate of potential complications in patients were calculated,and graded care quality was scored.Medical staff’s application satisfaction was investigated using self-designed questionnaire.Results After the application of the patient safety smart warning system,the discovery rate of potential complications in patients was increased significantly(P<0.05).The incidence of postoperative complications and adverse events decreased with no significant difference(P>0.05).The score of graded care quality improved from 97 to 99 after the application of the system.The overall satisfaction score of medical staff to patient safety smart warning system was 4.59±0.49.Conclusion Application of the patient safety smart warning system based on 5G Internet of things technology can improve the discovery rate of potential complications in patients,enhance the predictability of patients’safety risks and the awareness of safety risk management of medical staff,promote the timely follow-up of clinical intervention measures,and ensure the safety of patients.
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