• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

传染病防控中互联网医院在线服务机制研究

Research on the online service mechanism of internet hospital in infectious disease prevention and control.

作者信息

Zhao Xin, Huang Haitao, Zeng Guojun, Shi Qingke, Zhu Peijia, Zhang Longhao, Li Lei, Liu Lunxu, Huang Nan, Liu Wenguang, Yu Kexin

机构信息

Emergency Office, West China Hospital, Sichuan University, Chengdu, China.

Department of Computer Application, Chengdu College of University of Electronic Science and Technology of China, Chengdu, China.

出版信息

Exp Biol Med (Maywood). 2025 Apr 25;250:10349. doi: 10.3389/ebm.2025.10349. eCollection 2025.

DOI:10.3389/ebm.2025.10349
PMID:40351479
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12061786/
Abstract

Infectious diseases can sometimes lead to pandemics, often transmitted through public and social gatherings, including in-person hospital visits. Consequently, there is an urgent need for innovative approaches to prevent their spread. Taking COVID-19 as an example, we have explored a remote, contactless hospital online model that offers the public online medical consultations, professional psychological counseling, and chronic disease management consultations, thereby mitigating the risk of new transmissions resulting from hospital visits. This model was implemented, validated, and practiced at West China Hospital in China from 29 January 2020, to 12 March 2020. It was also applicable to other infectious diseases, such as influenza A. In this research, we utilized the hospital's internet platform, supplemented by telephone services, to offer the following to the public: 1) General medical education and consultation related to epidemics and psychological anxiety; 2) Online screening for at-risk populations; 3) Online prescription and medication delivery services for patients with chronic diseases. Consequently, over a period of more than 1 month, the online epidemic platform completed a total of 32,755 cases, including 8,783 internet consultations and 1,082 telephone consultations for the public, as well as 22,890 internet consultations for chronic disease patients. Among these, 289 high-risk individuals were identified, with 3 cases confirmed as COVID-19 during follow-up diagnoses, while no infections were detected in the remaining individuals. In conclusion, this innovative medical model serves as a significant supplement to existing healthcare systems and has the potential to be expanded to other hospitals and other infectious diseases. It is particularly beneficial in scenarios where medical resources are limited, populations are under quarantine, and there is a large demand for medical services and anxiety management during infectious disease pandemics.

摘要

传染病有时会引发大流行,通常通过公共和社交聚会传播,包括亲自前往医院就诊。因此,迫切需要创新方法来防止其传播。以新冠疫情为例,我们探索了一种远程、无接触的医院在线模式,为公众提供在线医疗咨询、专业心理咨询和慢性病管理咨询,从而降低因医院就诊导致新传播的风险。该模式于2020年1月29日至2020年3月12日在中国华西医院实施、验证和实践。它也适用于其他传染病,如甲型流感。在本研究中,我们利用医院的互联网平台,并辅以电话服务,为公众提供以下服务:1)与疫情和心理焦虑相关的一般医学教育和咨询;2)高危人群的在线筛查;3)慢性病患者的在线处方和送药服务。因此,在1个多月的时间里,在线疫情平台共完成32755例病例,包括为公众提供的8783次互联网咨询和1082次电话咨询,以及为慢性病患者提供的22890次互联网咨询。其中,识别出289名高危个体,随访诊断期间有3例确诊为新冠病例,其余个体未检测到感染。总之,这种创新的医疗模式是现有医疗体系的重要补充,有潜力扩展到其他医院和其他传染病。在医疗资源有限、人群处于隔离状态以及传染病大流行期间对医疗服务和焦虑管理有大量需求的情况下,它特别有益。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc35/12061786/81f338e9370d/ebm-250-10349-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc35/12061786/aeb68d689f3f/ebm-250-10349-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc35/12061786/bac0618e9d1f/ebm-250-10349-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc35/12061786/53b6166912fc/ebm-250-10349-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc35/12061786/e55516ef4858/ebm-250-10349-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc35/12061786/81f338e9370d/ebm-250-10349-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc35/12061786/aeb68d689f3f/ebm-250-10349-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc35/12061786/bac0618e9d1f/ebm-250-10349-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc35/12061786/53b6166912fc/ebm-250-10349-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc35/12061786/e55516ef4858/ebm-250-10349-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc35/12061786/81f338e9370d/ebm-250-10349-g005.jpg

相似文献

1
Research on the online service mechanism of internet hospital in infectious disease prevention and control.传染病防控中互联网医院在线服务机制研究
Exp Biol Med (Maywood). 2025 Apr 25;250:10349. doi: 10.3389/ebm.2025.10349. eCollection 2025.
2
Accessibility, Cost, and Quality of an Online Regular Follow-Up Visit Service at an Internet Hospital in China: Mixed Methods Study.中国互联网医院在线常规随诊服务的可及性、成本和质量:混合方法研究
J Med Internet Res. 2024 Oct 21;26:e54902. doi: 10.2196/54902.
3
Internet Hospitals Help Prevent and Control the Epidemic of COVID-19 in China: Multicenter User Profiling Study.互联网医院助力中国新冠疫情防控:多中心用户画像研究
J Med Internet Res. 2020 Apr 14;22(4):e18908. doi: 10.2196/18908.
4
Effects of Internet Hospital Consultations on Psychological Burdens and Disease Knowledge During the Early Outbreak of COVID-19 in China: Cross-Sectional Survey Study.中国新冠疫情早期互联网医院咨询对心理负担和疾病知识的影响:横断面调查研究
J Med Internet Res. 2020 Aug 4;22(8):e19551. doi: 10.2196/19551.
5
Assessment of Internet Hospitals in China During the COVID-19 Pandemic: National Cross-Sectional Data Analysis Study.中国在新冠疫情期间互联网医院的评估:全国横断面数据分析研究。
J Med Internet Res. 2021 Jan 20;23(1):e21825. doi: 10.2196/21825.
6
Characteristics of Online Health Care Services From China's Largest Online Medical Platform: Cross-sectional Survey Study.中国最大在线医疗平台的在线医疗服务特征:横断面调查研究。
J Med Internet Res. 2021 Apr 15;23(4):e25817. doi: 10.2196/25817.
7
Digital Health Technologies Respond to the COVID-19 Pandemic In a Tertiary Hospital in China: Development and Usability Study.中国一家三级医院中数字健康技术应对新冠疫情:开发与可用性研究
J Med Internet Res. 2020 Nov 24;22(11):e24505. doi: 10.2196/24505.
8
[Analysis of special ehealth service for corona virus disease 2019 (COVID-19) pneumonia].[2019年冠状病毒病(COVID-19)肺炎的特殊电子健康服务分析]
Beijing Da Xue Xue Bao Yi Xue Ban. 2020 Apr 18;52(2):302-307. doi: 10.19723/j.issn.1671-167X.2020.02.018.
9
An internet-based multidisciplinary online medical consultation system to help cope with pediatric medical needs during the COVID-19 outbreak: a cross-sectional study.一种基于互联网的多学科在线医疗咨询系统,用于在2019冠状病毒病疫情期间帮助应对儿科医疗需求:一项横断面研究。
Transl Pediatr. 2021 Mar;10(3):560-568. doi: 10.21037/tp-20-348.
10
Application and Preliminary Outcomes of Remote Diagnosis and Treatment During the COVID-19 Outbreak: Retrospective Cohort Study.远程诊断和治疗在 COVID-19 爆发期间的应用及初步结果:回顾性队列研究。
JMIR Mhealth Uhealth. 2020 Jul 3;8(7):e19417. doi: 10.2196/19417.

本文引用的文献

1
Leveraging graph neural networks for supporting automatic triage of patients.利用图神经网络支持患者的自动分诊。
Sci Rep. 2024 May 31;14(1):12548. doi: 10.1038/s41598-024-63376-2.
2
Clinical Characteristics of Coronavirus Disease 2019 in China.《中国 2019 年冠状病毒病临床特征》
N Engl J Med. 2020 Apr 30;382(18):1708-1720. doi: 10.1056/NEJMoa2002032. Epub 2020 Feb 28.
3
Preparedness and vulnerability of African countries against importations of COVID-19: a modelling study.非洲国家防范 COVID-19 输入的准备情况和脆弱性:建模研究。
Lancet. 2020 Mar 14;395(10227):871-877. doi: 10.1016/S0140-6736(20)30411-6. Epub 2020 Feb 20.
4
Pathological findings of COVID-19 associated with acute respiratory distress syndrome.与急性呼吸窘迫综合征相关的新型冠状病毒肺炎的病理表现
Lancet Respir Med. 2020 Apr;8(4):420-422. doi: 10.1016/S2213-2600(20)30076-X. Epub 2020 Feb 18.
5
Full spectrum of COVID-19 severity still being depicted.新冠病毒疾病(COVID-19)的全谱严重程度仍在呈现。
Lancet. 2020 Mar 21;395(10228):947-948. doi: 10.1016/S0140-6736(20)30308-1. Epub 2020 Feb 14.
6
Clinical Characteristics of 138 Hospitalized Patients With 2019 Novel Coronavirus-Infected Pneumonia in Wuhan, China.《武汉 2019 年新型冠状病毒感染的肺炎 138 例住院患者临床特征分析》
JAMA. 2020 Mar 17;323(11):1061-1069. doi: 10.1001/jama.2020.1585.
7
Transmission of 2019-nCoV Infection from an Asymptomatic Contact in Germany.德国一名无症状接触者传播2019新型冠状病毒感染
N Engl J Med. 2020 Mar 5;382(10):970-971. doi: 10.1056/NEJMc2001468. Epub 2020 Jan 30.
8
Importation and Human-to-Human Transmission of a Novel Coronavirus in Vietnam.越南新型冠状病毒的输入及人传人情况
N Engl J Med. 2020 Feb 27;382(9):872-874. doi: 10.1056/NEJMc2001272. Epub 2020 Jan 28.
9
Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China.中国武汉地区 2019 年新型冠状病毒感染患者的临床特征。
Lancet. 2020 Feb 15;395(10223):497-506. doi: 10.1016/S0140-6736(20)30183-5. Epub 2020 Jan 24.
10
A familial cluster of pneumonia associated with the 2019 novel coronavirus indicating person-to-person transmission: a study of a family cluster.一个涉及 2019 年新型冠状病毒的家庭聚集性肺炎病例,提示存在人际传播:一项家庭聚集性研究。
Lancet. 2020 Feb 15;395(10223):514-523. doi: 10.1016/S0140-6736(20)30154-9. Epub 2020 Jan 24.