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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...

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Autores principales: Shi, Yu, Fu, Jin, Zeng, Mei, Ge, Yanling, Wang, Xiangshi, Xia, Aimei, Shen, Weijie, Wang, Jiali, Chen, Weiming, Jiang, Siyuan, Zhai, Xiaowen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Author(s). Published by Elsevier B.V. on behalf of Chinese Medical Association. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9444255/
https://www.ncbi.nlm.nih.gov/pubmed/36091921
http://dx.doi.org/10.1016/j.imed.2022.08.002
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author Shi, Yu
Fu, Jin
Zeng, Mei
Ge, Yanling
Wang, Xiangshi
Xia, Aimei
Shen, Weijie
Wang, Jiali
Chen, Weiming
Jiang, Siyuan
Zhai, Xiaowen
author_facet Shi, Yu
Fu, Jin
Zeng, Mei
Ge, Yanling
Wang, Xiangshi
Xia, Aimei
Shen, Weijie
Wang, Jiali
Chen, Weiming
Jiang, Siyuan
Zhai, Xiaowen
author_sort Shi, Yu
collection PubMed
description 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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spelling pubmed-94442552022-09-06 Information technology and artificial intelligence support in management experiences of the pediatric designated hospital during the COVID-19 epidemic in 2022 in Shanghai Shi, Yu Fu, Jin Zeng, Mei Ge, Yanling Wang, Xiangshi Xia, Aimei Shen, Weijie Wang, Jiali Chen, Weiming Jiang, Siyuan Zhai, Xiaowen Intell Med Research Article 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. The Author(s). Published by Elsevier B.V. on behalf of Chinese Medical Association. 2023-02 2022-09-05 /pmc/articles/PMC9444255/ /pubmed/36091921 http://dx.doi.org/10.1016/j.imed.2022.08.002 Text en © 2022 The Author(s). Published by Elsevier B.V. on behalf of Chinese Medical Association. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Research Article
Shi, Yu
Fu, Jin
Zeng, Mei
Ge, Yanling
Wang, Xiangshi
Xia, Aimei
Shen, Weijie
Wang, Jiali
Chen, Weiming
Jiang, Siyuan
Zhai, Xiaowen
Information technology and artificial intelligence support in management experiences of the pediatric designated hospital during the COVID-19 epidemic in 2022 in Shanghai
title Information technology and artificial intelligence support in management experiences of the pediatric designated hospital during the COVID-19 epidemic in 2022 in Shanghai
title_full Information technology and artificial intelligence support in management experiences of the pediatric designated hospital during the COVID-19 epidemic in 2022 in Shanghai
title_fullStr Information technology and artificial intelligence support in management experiences of the pediatric designated hospital during the COVID-19 epidemic in 2022 in Shanghai
title_full_unstemmed Information technology and artificial intelligence support in management experiences of the pediatric designated hospital during the COVID-19 epidemic in 2022 in Shanghai
title_short Information technology and artificial intelligence support in management experiences of the pediatric designated hospital during the COVID-19 epidemic in 2022 in Shanghai
title_sort information technology and artificial intelligence support in management experiences of the pediatric designated hospital during the covid-19 epidemic in 2022 in shanghai
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9444255/
https://www.ncbi.nlm.nih.gov/pubmed/36091921
http://dx.doi.org/10.1016/j.imed.2022.08.002
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