Evidence map›Paper›PMID 40351479›Full record

ArticleExperimental biology and medicine (Maywood, N.J.)2025

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

Xin Zhao, Haitao Huang, Guojun Zeng, Qingke Shi, Peijia Zhu, Longhao Zhang, Lei Li, Lunxu Liu, Nan Huang, Wenguang Liu and 1 more

Abstract read
In one paragraph

Article in Experimental biology and medicine (Maywood, N.J.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Observational
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Xin Zhao *Emergency Office, West China Hospital, Sichuan University, Chengdu, China.
Haitao Huang *Department of Computer Application, Chengdu College of University of Electronic Science and Technology of China, Chengdu, China.
Guojun ZengDivision of Vascular Surgery, Department of General Surgery, West China Hospital, Sichuan University, Chengdu, China.
Qingke ShiInformation Center, West China Hospital, Sichuan University, Chengdu, China.
Peijia ZhuDepartment of Science and Technology, West China Hospital, Sichuan University, Chengdu, China.
Longhao ZhangDouble First-Class Construction Office, West China Hospital, Sichuan University, Chengdu, China.
Lei LiDepartment of Clinical Research Management, West China Hospital, Sichuan University, Chengdu, China.
Lunxu LiuDepartment of Thoracic Surgery, and President's Office, West China Hospital, Sichuan University, Chengdu, China.
Nan HuangDepartment of Dermatology and Venerology, West China Hospital, Sichuan University, Chengdu, China.
Wenguang LiuDepartment of Computer Application, Chengdu College of University of Electronic Science and Technology of China, Chengdu, China.
Kexin YuDepartment of Computer Application, Chengdu College of University of Electronic Science and Technology of China, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Communicable Disease ControlCOVID-19InternetChinaHospitalsHumansPandemicsSARS-CoV-2Telemedicinecontrol internet hospitalinfectious diseaseinternet hospitalonline serviceprevention

Identifiers

PMID40351479
PMCPMC12061786

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.