2022年上海市新型冠状病毒肺炎疫情期间儿科定点医院管理经验的信息技术和人工智能支持

IF 4.4 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Intelligent medicine Pub Date : 2023-02-01 DOI:10.1016/j.imed.2022.08.002
Yu Shi , Jin Fu , Mei Zeng , Yanling Ge , Xiangshi Wang , Aimei Xia , Weijie Shen , Jiali Wang , Weiming Chen , Siyuan Jiang , Xiaowen Zhai
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引用次数: 1

摘要

目的探讨信息技术和人工智能技术在上海市儿童定点医院应对新冠肺炎疫情管理中的应用经验。方法回顾性总结上海市某大型儿科定点医院2022年3月1日至5月11日的管理经验。总结了互联网医院、人脸识别技术在门诊的应用、重症预警系统和病区远程会诊系统以及结构化电子病历在住院系统中的应用。我们通过治疗患者的数量和预后来说明信息系统的作用。结果我市新冠肺炎定点医院针对危重患者建立了高水平的定点医院,反应迅速、反应科学,有效防控疫情。2022年3月1日至5月11日,我中心共收治RT-PCR阳性患儿768例。在管理中,我们在互联网医院使用互联网信息,在门诊部使用人脸识别技术,在病房使用重症预警系统和远程会诊系统,在住院系统中使用结构化电子病历。无死亡或院内感染发生。线下门诊次数下降,2022年3月至5月分别为146106次、48379次、57686次。但互联网医院的门诊量明显增加(2022年3月为3347人次,2021年3月为372人次;2022年4月4465人,2021年4月409人;2022年5月为4677人,2021年5月为538人)。结论信息技术和人工智能为医院管理提供了重要支持。该系统可以优化住院筛选流程,增加病房内外的沟通,实现早发现早诊断,及时隔离患者,及时治疗各类患儿。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Information technology and artificial intelligence support in management experiences of the pediatric designated hospital during the COVID-19 epidemic in 2022 in Shanghai

Objective

To describe the information technology and artificial intelligence support in management experiences of the pediatric designated hospital in the wave of COVID-19 in Shanghai.

Methods

We retrospectively concluded the management experiences at the largest pediatric designated hospital from March 1st to May 11th in 2022 in Shanghai. We summarized the application of Internet hospital, face recognition technology in outpatient department, critical illness warning system and remote consultation system in the ward and the structed electronic medical record in the inpatient system. We illustrated the role of the information system through the number and prognosis of patients treated.

Results

The COVID-19 designated hospitals were built particularly for critical patients requiring high-level medical care, responded quickly and scientifically to prevent and control the epidemic situation. From March 1st to May 11th, 2022, we received and treated 768 children confirmed by positive RT-PCR and treated at our center. In our management, we use Internet Information on the Internet Hospital, face recognition technology in outpatient department, critical illness warning system and remote consultation system in the ward, structed electronic medical record in the inpatient system. No deaths or nosocomial infections occurred. The number of offline outpatient visits dropped, from March to May 2022, 146,106, 48,379, 57,686 respectively. But the outpatient volume on the internet hospital increased significantly (3,347 in March 2022 vs. 372 in March 2021; 4,465 in April 2022 vs. 409 in April 2021; 4,677 in May 2022 vs. 538 in May 2021).

Conclusions

Information technology and artificial intelligence has provided significant supports in the management. The system might optimize the admission screening process, increases the communication inside and outside the ward, achieves early detection and diagnosis, timely isolates patients, and timely treatment of various types of children.

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来源期刊
Intelligent medicine
Intelligent medicine Surgery, Radiology and Imaging, Artificial Intelligence, Biomedical Engineering
CiteScore
5.20
自引率
0.00%
发文量
19
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