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人工智能在儿童住院医嘱前置审核系统中的构建及实践
引用本文:吴娟,王菊平. 人工智能在儿童住院医嘱前置审核系统中的构建及实践[J]. 国际医药卫生导报, 2022, 28(2): 193-195. DOI: 10.3760/cma.j.issn.1007-1245.2022.02.011
作者姓名:吴娟  王菊平
作者单位:郑州大学附属儿童医院 河南省儿童医院 郑州儿童医院药学部,郑州 450000
基金项目:2018年度河南省医学科技攻关计划(联合共建项目)(2018020643)
摘    要:
目的:探究人工智能在儿童住院医嘱前置审核系统中的构建及实践。方法:选择2019年1月至2020年4月郑州大学附属儿童医院100例住院儿童作为对照组,实施常规医嘱前置审核;以2020年5月至2021年5月100例住院儿童作为观察组,在医嘱前置审核中应用人工智能系统。观察组年龄(4.52±1.12)岁,其中男76例、女24...

关 键 词:人工智能  住院  医嘱  前置审核系统
收稿时间:2021-06-28

Construction and practice of artificial intelligence in the pre-review system of children's inpatient medical orders
Wu Juan,Wang Juping. Construction and practice of artificial intelligence in the pre-review system of children's inpatient medical orders[J]. International Medicine & Health Guidance News, 2022, 28(2): 193-195. DOI: 10.3760/cma.j.issn.1007-1245.2022.02.011
Authors:Wu Juan  Wang Juping
Affiliation:Department of Pharmacy, Children's Hospital of Zhengzhou University, Henan Children's Hospital,Zhengzhou Children's Hospital, Zhengzhou 450000, China
Abstract:
Objective To explore the construction and practice of artificial intelligence inthe pre-review system of children's inpatient medical orders. Methods A total of 100 hospitalizedchildren in Children's Hospital of Zhengzhou University from January 2019 to April 2020 were selectas a control group, and received routine pre-review of medical orders; 100 hospitalized childrenfrom May 2020 to May 2021 were select as an observation group, and received pre-review ofmedical orders based on artificial intelligence system. The observation group was (4.52±1.12)years old, including 76 males and 24 females; the control group was (4.96±1.45) years old,including 77 males and 23 females. The safety of drug use was compared between the two groups.Independent sample t test was used for measurement data, and χ2 test was used for count data. Results The proportion of irrational medical orders in the observation group was 32.00% (32/100), which was lower than 50.00% (50/100) in the control group (P<0.05). The satisfaction degreeof family members in the observation group was 95.00% (95/100), which was higher than 70.00%(70/100) in the control group (P<0.05). Conclusion Artificial intelligence has a high applicationvalue in the pre-review system of children's inpatient medical orders, which can promote the clinicalrational use of drugs, improve the safety of children's drug use, and has a good application effect.
Keywords:Artificial intelligence  Hospitalization  Medical orders  Pre-review system
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