Abstract: Objective: To explore the effect of the whole-process management of emergency triage based on the feedback of Big data visualization technique, and provide reference for improving the quality of emergency triage. Methods: Using a historical controlled study method, 22689 patients for emergency triage in April 2021 from a tertiary grade A hospital in Hangzhou were conveniently selected as routine group and received routine emergency triage management, while 22236 patients for emergency triage in April 2022 were as the observation group and received the whole-process management in triage based on the feedback of big data, including the dynamic assessment and the continuous improvement of pre-check, middle, and back-end quality. The quality and efficiency of emergency triage before and after the implementation of the whole-process management were compared. Results: After the implementation of the whole-process management based on big data feedback, the completion rate of triage information, the compliance rate of triage and the target response time were significantly better than those with routine management (P<0.05), while the waiting time for patient and the incidence of adverse events were significantly lower (P<0.05). Conclusion: The whole-process management based on the feedback of big data visualization technique can effectively improve the quality and efficiency of emergency pre-check and triage, and guarantee the safety of emergency patients.

Key words: emergency service, triage; big data; whole-process management; quality management