组织工程与重建外科杂志 ›› 2023, Vol. 19 ›› Issue (4): 402-.

• • 上一篇    下一篇

基于 5G 物联网技术构建患者安全智能预警系统在整复外科护理工作中的应用

  

  • 出版日期:2023-08-01 发布日期:2023-09-06

 Establishment and application of the patient safety smart warning system based on 5G Internet of things technology#br# in Plastic and Reconstructive Surgery nursing #br#

  • Online:2023-08-01 Published:2023-09-06

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。

关键词:

Abstract:

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.

Key words: