Research on application of intelligent assistant decision-making in the five-level triage of pediatric emergency department

中国小儿急救医学 Pub Date : 2019-12-20 DOI:10.3760/CMA.J.ISSN.1673-4912.2019.12.006

Xianghui Huang, Deyi Zhuang, Wanting Li

{"title":"Research on application of intelligent assistant decision-making in the five-level triage of pediatric emergency department","authors":"Xianghui Huang, Deyi Zhuang, Wanting Li","doi":"10.3760/CMA.J.ISSN.1673-4912.2019.12.006","DOIUrl":null,"url":null,"abstract":"Objective \nTo explore the application effect of intelligent assistant decision-making in the five-level triage of pediatric emergency department. \n \n \nMethods \nThe 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. \n \n \nResults \nThere 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. \n \n \nConclusion \nThe 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. \n \n \nKey words: \nPediatric emergency; Pre-examination triage; Assisted decision","PeriodicalId":68901,"journal":{"name":"中国小儿急救医学","volume":"26 1","pages":"907-911"},"PeriodicalIF":0.0000,"publicationDate":"2019-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"中国小儿急救医学","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.3760/CMA.J.ISSN.1673-4912.2019.12.006","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 1

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. Key words: Pediatric emergency; Pre-examination triage; Assisted decision

查看原文本刊更多论文

智能辅助决策在儿科急诊科五级分诊中的应用研究

目的探讨智能辅助决策在儿科急诊科五级分诊中的应用效果。方法将在厦门市儿童医院儿科急诊科使用智能辅助决策系统就诊的患者分为就诊前1个月和就诊后1个月两组。2018年3月，传统组为17900例，2018年4月，智能组为18590例。传统组按照五级预筛和分诊标准进行人工分诊。智能组基于自主研发的智能辅助决策系统进行分诊。智能辅助决策包括自动识别生命体征数据是否异常和自动提供分诊级别依据帮助护士确认两大功能。根据建立的内容收集患者信息，系统根据相应的分诊依据自动识别并呈现，确定分诊级别。比较分析两组患儿的疾病分布、分诊水平、分诊准确率。对急诊小儿预检分诊系统的临床应用效果进行评价。结果两组患者疾病分布无明显差异。前三位分别是呼吸系统疾病、传染病和消化系统疾病。两组患者等待时间比较，智能组患者Ⅲ、Ⅳ、Ⅴ级等待时间均短于传统组，差异有统计学意义(P<0.05)。智能组分诊等级的一致性高于传统组。智力组Ⅲ、Ⅳ、Ⅴ年级儿童家庭满意度高于传统组。结论智能辅助决策的应用可以提高护士预检的效率和准确性，保证分诊的有效性和患儿的安全，提高家属的满意度。关键词:儿科急诊;预审分流;辅助决策

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

中国小儿急救医学

自引率

0.00%

发文量

6226

期刊介绍： Chinese Journal of Neurology was established in 1955, the predecessor of which is Chinese Journal of Neurology and Psychiatry. Chinese Journal of Neurology and Psychiatry has been indexed by MEDLINE until 1996, when it was divided into two journals, Chinese Journal of Neurology, and Chinese Journal of Psychiatry. Chinese Journal of Neurology is now indexed by EM, SCOPUS, AJ, WPRIM, CNKI, Wanfang Data, CSCD, etc. The impact factor of the journal is 2.755 in 2017, ranking the first among all neurological and psychological journals in China and among all the 142 medical journals published by the Chinese Medical Association. The journal is available both in print and online.