Chinese Journal of Nursing ›› 2025, Vol. 60 ›› Issue (2): 170-176.DOI: 10.3761/j.issn.0254-1769.2025.02.007

• Specialist Nersing Practice and Research • Previous Articles     Next Articles

Construction of a regional collaborative cloud-based treatment model for patients with severe traffic injuries and evaluation of the timeliness of care

ZHOU Shuaishuai(), WANG Sa, YAN Danping, XU Shurong, LIU Yajie, WANG Meiling, LI Yulin, WANG Yuwei()   

  • Received:2024-06-06 Online:2025-01-20 Published:2025-01-23

严重交通伤患者区域协同云端救治模式的构建及护理时效评价

周帅帅(), 王飒, 闫丹萍, 许书荣, 刘亚洁, 王美玲, 李雨林, 王钰炜()   

  1. 310009 杭州市 浙江大学医学院附属第二医院护理部(周帅帅,王飒,闫丹萍,许书荣,刘亚洁,王美玲,王钰炜),急诊医学科(李雨林)
  • 通讯作者: 王钰炜,E-mail:zrwyw@zju.edu.cn
  • 作者简介:周帅帅:女,本科,主管护师,E-mail:1261553204@qq.com
  • 基金资助:
    浙江省医药卫生科技项目(2022KY175)

Abstract:

Objective To construct a regional collaborative cloud-based treatment model treatment model for patients with severe road traffic injuries,and to preliminarily evaluate the differences in nursing timeliness indicators and outcomes. Methods The regional collaborative cloud-based treatment platform includes 4 ports,including public security traffic police,pre-hospital emergency center,regional trauma center triage,and regional trauma center resuscitation unit. This forms a standardized real-time interactive treatment process between regional medical services and police for patients with severe road traffic injuries. Using a concurrent control study design,241 patients with severe road traffic injuries admitted to the emergency department of a regional trauma center in Zhejiang Province from May 2022 to May 2024 were selected as the study subjects. Among them,120 patients treated with the regional real-time collaborative cloud-based treatment model were designated as an experimental group,while 121 patients treated with the original trauma care process were designated as a control group. The differences in timeliness indicators and outcomes between the 2 groups were compared. Results The study included 241 patients with severe trauma. After the application of the regional collaborative cloud-based treatment model,the time from the scene of the accident to the hospital,the proportion of information early warning,completion time of pre-examination and triage,waiting time of the trauma team,the time of the first CT,the length of multidisciplinary consultation,and the time for completing hospitalization procedures in the experimental group were shorter than those in the control group(P<0.05),the proportion of information early warning in the experimental group was 100%(120/120),and the proportion of information early warning in the control group was 52.1%(63/121). The difference between the two groups was statistically significant(P<0.001). The survival rate of the experimental group was 90.8%(109/120),and that of the control group was 86.0%(104/121). There was no significant difference between the two groups( χ2=1.399,P=0.237). Conclusion The regional collaborative cloud-based treatment model improves the timeliness and standardization of the treatment of patients with severe road traffic injury,which has certain reference significance and promotion value.

Key words: Traffic Injury, Medical-Police Collaboration, Information Interaction, Cloud Platform, Emergency Nursing

摘要:

目的 构建严重交通伤患者区域协同云端救治模式,并初步评价其护理时效指标与结局差异。方法 建立区域协同云端救治平台,包括公安交警、院前急救中心、区域创伤中心预检、区域创伤中心复苏单元4个端口,形成严重交通伤患者区域协同云端救治标准化流程。采用类实验研究设计,按照便利抽样法,选取浙江省某区域创伤中心急诊科2022年5月—2024年5月收治的241例严重交通伤患者作为研究对象,将实施区域协同云端救治模式进行救治的120例患者作为试验组,实施原有创伤救治流程的121例患者作为对照组,比较两组的时效性指标和结局差异。结果 两组均不存在数据失访和数据不完整的情况。区域协同云端救治模式应用后,试验组事故现场至医院时间、预检分诊完成时间、创伤团队等待时间、第一次送CT时间、多学科会诊到达时间、住院手续完善时间、住院时长较对照组均有所缩短(P<0.05);试验组信息预警比例为100%(120/120),对照组信息预警比例为52.1%(63/121),两组比较,差异具有统计学意义(P<0.001)。结论 应用区域协同云端救治模式提高了严重交通伤患者救治的时效性和规范性。

关键词: 交通伤, 医警协同, 信息交互, 云平台, 急救护理