• 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

中国疫情期间互联网医院在新型冠状病毒肺炎初诊患者中的应用

Application of Internet hospitals for first-visit patients with COVID-19 during the pandemic in China.

作者信息

Zhang Ye, Zhang Ye, Huang Jie, Dong Liang

机构信息

Department of General Medicine, Affiliated Hospital of Jiaxing University, Jiaxing, China.

Jiaxing University Master Degree Cultivation Base, Zhejiang Chinese Medical University, Jiaxing, China.

出版信息

Eur J Public Health. 2023 Oct 10;33(5):789-795. doi: 10.1093/eurpub/ckad138.

DOI:10.1093/eurpub/ckad138
PMID:37550253
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10567245/
Abstract

BACKGROUND

There has been controversy over whether to carry out online medical inquiries and electronic prescription for first-visit patients. While Internet hospitals have become crucial to ensure providing online diagnosis and prescription needs for first-visit COVID-positive patients.

OBJECTIVE

We describe the results and advantages of online medical treatment during the coronavirus disease 2019 (COVID-19) outbreak and analyse the results and advantages of online medical treatment.

METHODS

Data were collected from the patients who received online medical inquiry services through the COVID-19 Special Section of our Internet hospital. The user demographic characteristics, user behaviour, clinical symptoms and medical records were collected. Baseline data of offline outpatient patients were also collected.

RESULTS

A total of 16 173 online medical inquiries were included. The daily online outpatient service volume reached a peak of 2446 person-times. The median age was 29.92 years (SD 15.59), ranging from 20-39 years (n = 8870, 54.84%). A total of 89.20% (n = 14 426/16 173) patients had epidemic-related symptoms. Moreover, 23.35% of the people were diagnosed as COVID-19-positive through antigen or nucleic acid testing. Furthermore, 86.61% (14 008/16 173) of the patients visited our hospital for the first time or had no offline physical outpatient service record within the past 3 months. The demand for medical inquiries was mainly for drug dispensing, followed by medication guidance and disease diagnosis. And 2.07% (334/16 173) of the patients needed to go to the offline hospital for further treatment.

CONCLUSION

The service model of the COVID-19 Special Section based on Internet hospitals provided the public with the necessary medical support during the COVID-19 outbreak. It provides a reference for future pandemics or public health emergencies.

摘要

背景

对于初诊患者是否开展在线医疗咨询和电子处方存在争议。而互联网医院对于确保为新冠病毒检测呈阳性的初诊患者提供在线诊断和处方需求至关重要。

目的

我们描述了2019年冠状病毒病(COVID-19)疫情期间在线医疗的结果和优势,并分析在线医疗的结果和优势。

方法

收集通过我院互联网医院新冠专区接受在线医疗咨询服务的患者的数据。收集用户人口统计学特征、用户行为、临床症状和病历。还收集了线下门诊患者的基线数据。

结果

共纳入16173例在线医疗咨询。每日在线门诊服务量达到峰值2446人次。中位年龄为29.92岁(标准差15.59),年龄范围为20至39岁(n = 8870,54.84%)。共有89.20%(n = 14426/16173)的患者有与疫情相关的症状。此外,23.35%的人通过抗原或核酸检测被诊断为COVID-19阳性。此外,86.61%(14008/16173)的患者是首次来我院就诊或在过去3个月内没有线下实体门诊服务记录。医疗咨询需求主要是配药,其次是用药指导和疾病诊断。2.07%(334/16173)的患者需要到线下医院进一步治疗。

结论

基于互联网医院的新冠专区服务模式在COVID-19疫情期间为公众提供了必要的医疗支持。它为未来的大流行或突发公共卫生事件提供了参考。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2119/10567245/c1df35858b0d/ckad138f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2119/10567245/a7467210a47b/ckad138f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2119/10567245/d0b082b0f7a9/ckad138f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2119/10567245/c1df35858b0d/ckad138f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2119/10567245/a7467210a47b/ckad138f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2119/10567245/d0b082b0f7a9/ckad138f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2119/10567245/c1df35858b0d/ckad138f3.jpg

相似文献

1
Application of Internet hospitals for first-visit patients with COVID-19 during the pandemic in China.中国疫情期间互联网医院在新型冠状病毒肺炎初诊患者中的应用
Eur J Public Health. 2023 Oct 10;33(5):789-795. doi: 10.1093/eurpub/ckad138.
2
Determinants of Patients' Intention to Use the Online Inquiry Services Provided by Internet Hospitals: Empirical Evidence From China.患者使用互联网医院提供的在线问诊服务意愿的影响因素:来自中国的实证证据
J Med Internet Res. 2020 Oct 29;22(10):e22716. doi: 10.2196/22716.
3
Experiences and Challenges of Emerging Online Health Services Combating COVID-19 in China: Retrospective, Cross-Sectional Study of Internet Hospitals.中国新兴在线医疗服务抗击新冠肺炎的经验与挑战:互联网医院的回顾性横断面研究
JMIR Med Inform. 2022 Jun 1;10(6):e37042. doi: 10.2196/37042.
4
Virtualized clinical studies to assess the natural history and impact of gut microbiome modulation in non-hospitalized patients with mild to moderate COVID-19 a randomized, open-label, prospective study with a parallel group study evaluating the physiologic effects of KB109 on gut microbiota structure and function: a structured summary of a study protocol for a randomized controlled study.用于评估非住院轻中度 COVID-19 患者肠道微生物组调节的自然史和影响的虚拟化临床研究:一项随机、开放标签、前瞻性研究,平行组研究评估 KB109 对肠道微生物组结构和功能的生理影响:一项随机对照研究方案的结构化总结。
Trials. 2021 Apr 2;22(1):245. doi: 10.1186/s13063-021-05157-0.
5
Economic value and characteristics of cloud pharmacy for children based on internet hospital in western China during the COVID-19 pandemic: Cross-sectional survey study.基于互联网医院的西部地区儿童云药房在 COVID-19 大流行期间的经济价值和特点:横断面调查研究。
Front Public Health. 2022 Nov 3;10:1034450. doi: 10.3389/fpubh.2022.1034450. eCollection 2022.
6
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.
7
The Internet Hospital Plus Drug Delivery Platform for Health Management During the COVID-19 Pandemic: Observational Study.新冠疫情期间用于健康管理的互联网医院加药品配送平台:观察性研究
J Med Internet Res. 2020 Aug 6;22(8):e19678. doi: 10.2196/19678.
8
Letter to the Editor: THE IMPACT OF THE COVID-19 PANDEMIC ON SCHIZOPHRENIA PATIENTS.致编辑的信:COVID-19 大流行对精神分裂症患者的影响。
9
Letter to the Editor: THE IMPACT OF THE COVID-19 PANDEMIC ON SCHIZOPHRENIA PATIENTS.致编辑的信:COVID-19 大流行对精神分裂症患者的影响。
Turk Psikiyatri Derg. 2021 Fall;32(3):219-221. doi: 10.5080/u26175.
10
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.

引用本文的文献

1
Global trends in internet hospitals and electronic prescriptions: Insights for China.互联网医院与电子处方的全球趋势:对中国的启示
Digit Health. 2025 Apr 16;11:20552076251335707. doi: 10.1177/20552076251335707. eCollection 2025 Jan-Dec.

本文引用的文献

1
Characterisation of SARS-CoV-2 variants in Beijing during 2022: an epidemiological and phylogenetic analysis.2022 年北京地区 SARS-CoV-2 变异株的特征:一项流行病学和系统进化分析。
Lancet. 2023 Feb 25;401(10377):664-672. doi: 10.1016/S0140-6736(23)00129-0. Epub 2023 Feb 8.
2
Estimating the transmission dynamics of SARS-CoV-2 Omicron BF.7 in Beijing after adjustment of the zero-COVID policy in November-December 2022.估算 2022 年 11 月-12 月北京调整“动态清零”政策后 SARS-CoV-2 奥密克戎 BF.7 的传播动力学。
Nat Med. 2023 Mar;29(3):579-582. doi: 10.1038/s41591-023-02212-y. Epub 2023 Jan 13.
3
The prevalence and long-term health effects of Long Covid among hospitalised and non-hospitalised populations: A systematic review and meta-analysis.
住院和非住院人群中“长新冠”的患病率及长期健康影响:一项系统评价与荟萃分析
EClinicalMedicine. 2022 Dec 1;55:101762. doi: 10.1016/j.eclinm.2022.101762. eCollection 2023 Jan.
4
Artificial intelligence-based internet hospital pharmacy services in China: Perspective based on a case study.中国基于人工智能的互联网医院药学服务:基于案例研究的视角
Front Pharmacol. 2022 Nov 9;13:1027808. doi: 10.3389/fphar.2022.1027808. eCollection 2022.
5
Experiences and Challenges of Emerging Online Health Services Combating COVID-19 in China: Retrospective, Cross-Sectional Study of Internet Hospitals.中国新兴在线医疗服务抗击新冠肺炎的经验与挑战:互联网医院的回顾性横断面研究
JMIR Med Inform. 2022 Jun 1;10(6):e37042. doi: 10.2196/37042.
6
The internet hospital: how to combine with traditional healthcare model.互联网医院:如何与传统医疗模式相结合。
Hepatobiliary Surg Nutr. 2022 Apr;11(2):273-275. doi: 10.21037/hbsn-2022-10.
7
Alternative mechanisms for delivery of medication in South Africa: A scoping review.南非药物输送的替代机制:范围综述。
S Afr Fam Pract (2004). 2021 Aug 24;63(1):e1-e8. doi: 10.4102/safp.v63i1.5274.
8
Chinese Patients' Intention to Use Different Types of Internet Hospitals: Cross-sectional Study on Virtual Visits.中国患者使用不同类型互联网医院的意愿:虚拟就诊的横断面研究。
J Med Internet Res. 2021 Aug 13;23(8):e25978. doi: 10.2196/25978.
9
Running an Internet Hospital in China: Perspective Based on a Case Study.中国互联网医院运行模式探讨:基于案例研究的视角
J Med Internet Res. 2021 Sep 16;23(9):e18307. doi: 10.2196/18307.
10
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.