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Exploring intelligent hospital management mode based on artificial intelligence

OBJECTIVE: To address the challenges posed by the COVID-19 pandemic, our hospital developed an intelligent hospital management mode specifically tailored to COVID-19 patients. METHODS: This study included patients with confirmed diagnosis of COVID-19 admitted to our hospital between January 2020 to...

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Autores principales: Mi, Dezhi, Li, Yong, Zhang, Kangying, Huang, Chaoni, Shan, Wenjia, Zhang, Jiangbo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10461087/
https://www.ncbi.nlm.nih.gov/pubmed/37645708
http://dx.doi.org/10.3389/fpubh.2023.1182329
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author Mi, Dezhi
Li, Yong
Zhang, Kangying
Huang, Chaoni
Shan, Wenjia
Zhang, Jiangbo
author_facet Mi, Dezhi
Li, Yong
Zhang, Kangying
Huang, Chaoni
Shan, Wenjia
Zhang, Jiangbo
author_sort Mi, Dezhi
collection PubMed
description OBJECTIVE: To address the challenges posed by the COVID-19 pandemic, our hospital developed an intelligent hospital management mode specifically tailored to COVID-19 patients. METHODS: This study included patients with confirmed diagnosis of COVID-19 admitted to our hospital between January 2020 to December 2022. We sought to explore intelligent hospital management mode based on artificial intelligence (AI) and new technologies such as 5G, Internet of Things (IoT), wearable devices, robots, and small programs. RESULTS: Intelligent hospital management mode can help improve the quality of life of patients, while also improving the management ability of the hospital, as it can automatically deliver timely patient reminders, maintain environmental cleanliness, and help in the transportation of medical equipment without any manual labor. This can help in conserving time and reducing the workload of medical staff. Moreover, itcan help intellectualize patient admission, patient discharge, and hospital management, thereby helping in providing efficient medical and patient humanistic care. CONCLUSIONS: The development of intelligent management mode can reduce the burden of medical personnel and the probability of developing infection and bring about timely and better patient care. Intelligent management can play a pivotal role in control of the epidemic, treating patients, allocation of resources, tracing the root cause of the virus, and monitoring.
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spelling pubmed-104610872023-08-29 Exploring intelligent hospital management mode based on artificial intelligence Mi, Dezhi Li, Yong Zhang, Kangying Huang, Chaoni Shan, Wenjia Zhang, Jiangbo Front Public Health Public Health OBJECTIVE: To address the challenges posed by the COVID-19 pandemic, our hospital developed an intelligent hospital management mode specifically tailored to COVID-19 patients. METHODS: This study included patients with confirmed diagnosis of COVID-19 admitted to our hospital between January 2020 to December 2022. We sought to explore intelligent hospital management mode based on artificial intelligence (AI) and new technologies such as 5G, Internet of Things (IoT), wearable devices, robots, and small programs. RESULTS: Intelligent hospital management mode can help improve the quality of life of patients, while also improving the management ability of the hospital, as it can automatically deliver timely patient reminders, maintain environmental cleanliness, and help in the transportation of medical equipment without any manual labor. This can help in conserving time and reducing the workload of medical staff. Moreover, itcan help intellectualize patient admission, patient discharge, and hospital management, thereby helping in providing efficient medical and patient humanistic care. CONCLUSIONS: The development of intelligent management mode can reduce the burden of medical personnel and the probability of developing infection and bring about timely and better patient care. Intelligent management can play a pivotal role in control of the epidemic, treating patients, allocation of resources, tracing the root cause of the virus, and monitoring. Frontiers Media S.A. 2023-08-14 /pmc/articles/PMC10461087/ /pubmed/37645708 http://dx.doi.org/10.3389/fpubh.2023.1182329 Text en Copyright © 2023 Mi, Li, Zhang, Huang, Shan and Zhang. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Public Health
Mi, Dezhi
Li, Yong
Zhang, Kangying
Huang, Chaoni
Shan, Wenjia
Zhang, Jiangbo
Exploring intelligent hospital management mode based on artificial intelligence
title Exploring intelligent hospital management mode based on artificial intelligence
title_full Exploring intelligent hospital management mode based on artificial intelligence
title_fullStr Exploring intelligent hospital management mode based on artificial intelligence
title_full_unstemmed Exploring intelligent hospital management mode based on artificial intelligence
title_short Exploring intelligent hospital management mode based on artificial intelligence
title_sort exploring intelligent hospital management mode based on artificial intelligence
topic Public Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10461087/
https://www.ncbi.nlm.nih.gov/pubmed/37645708
http://dx.doi.org/10.3389/fpubh.2023.1182329
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