Research on application of intelligent assistant decision-making in the five-level triage of pediatric emergency department
10.3760/cma.j.issn.1673-4912.2019.12.006
- VernacularTitle: 智能化辅助决策在儿科急诊五级分诊中的应用研究
- Author:
Xianghui HUANG
1
;
Deyi ZHUANG
1
;
Wanting LI
2
Author Information
1. Neonatal Medical Center of Xiamen Children′s Hospital, Xiamen Key Laboratory of Neonatal Diseases, Xiamen 361006, China
2. General Surgery of Xiamen Children′s Hospital, Xiamen Key Laboratory of Neonatal Diseases, Xiamen 361006, China
- Publication Type:Journal Article
- Keywords:
Pediatric emergency;
Pre-examination triage;
Assisted decision
- From:
Chinese Pediatric Emergency Medicine
2019;26(12):907-911
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To explore the application effect of intelligent assistant decision-making in the five-level triage of pediatric emergency department.
Methods:The patients treated in the pediatric emergency department of Xiamen Children′s Hospital using the intelligent assistant decision-making system were divided into two groups before and after one month.In March 2018, 17 900 cases were in the traditional group, and in April 2018, 18 590 cases were in the intelligent group.The traditional group conducted manual triage according to the five-level pre-screening and triage standard.The intelligent group conducted triage based on the self-developed intelligent assistant decision-making system.Intelligent assistant decision-making included automatic identification of whether vital signs data was abnormal and automatic provision of basis for triage level to help nurses confirm two major functions.The patients′ information were collected according to the established content, and the system would automatically identify and present according to the corresponding triage basis to determine the triage level.The two groups of children were compared and analyzed in terms of disease distribution, triage level, triage accuracy.The clinical application effect of the emergency pediatric pre-check triage system was evaluated.
Results:There was no significant difference in disease distribution between the two groups.The top three were respiratory diseases, infectious diseases and digestive diseases.In the comparison of waiting time between the two groups, the waiting time of grade Ⅲ, Ⅳ and Ⅴ patients in the intelligent group was shorter than that in the traditional group, the difference was statistically significant (P<0.05). The consistency of triage grade in the intelligent group was higher than that in the traditional group.The family satisfaction of children in the intelligent group of Ⅲ, Ⅳ, and Ⅴ grade was higher than that in the traditional group.
Conclusion:The application of intelligent assistant decision-making could improve the efficiency and accuracy of the pre-examination of the nurses, ensure the effectiveness of the triage and the safety of the children, and improve the satisfaction of family members.
