智能任务分派分位点转运模式在急救患者院内转运中的应用

Effect of intelligent task assignment assisted segmented intra-hospital transfer model for emergency patients

目的 探讨智能任务分派分位点转运模式在急救患者院内转运中的应用效果。方法 采用类实验研究设计,选择2019年7~12月的急救患者60例为对照组,2020年7~12月的62例为干预组。对照组采用传统转运方式,干预组实施转运任务分派分位点院内转运模式。比较两组转运不良事件、转运时间。结果 干预组转运总时间、急诊滞留时间、室外运送时间、科室交接时间显著短于对照组(均P<0.05)。干预组任务延迟率显著低于对照组(P<0.05)。结论 智能任务分派分位点院内转运模式保证了转运患者信息传递的准确性,提升各环节的安全监控,降低运送延迟发生率。

Objective To explore the application effect of intelligent task assignment assisted segmented intra-hospital transfer model for emergency patients.Methods Totally, 60 emergency patients(July through December 2019) were selected as the control group and 62 patients(July through December 2020) as the intervention group.The control group was subjected to traditional transportation mode, while the intervention group was subjected to an intelligent task assignment assisted segmented intra-hospital transfer model that was built based on information platform.Adverse events, and transit time were compared between the two groups.Results The total transit time, emergency detention time, outdoor transportation time and department reception time in the intervention group were significantly shorter than those in the control group(P<0.05 for all).The task delay rate in the intervention group was significantly lower than that in the control group(P<0.05 for both).Conclusion The intelligent task assignment assisted segmented intra-hospital transfer model ensures the accuracy of information transmission of patients being transferred, improves safety monitoring of all links of the process, and reduces the incidence of task delay.