Evidence map›Paper›PMID 40211183›Full record

ArticleBMC infectious diseases2025

Smart healthcare in mobile hospitals: enhancing response to Disease X.

Juanling He, Rongrong Ni, Sifeng Wu, Lu Dai, Yongjun Luo, Xu Luo

Abstract read
In one paragraph

Article in BMC infectious diseases, 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. Review
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

6 authors.

Juanling HeMedical Department of the First Affiliated Hospital of the Army Medical University, Shapingba District, Chongqing City, 400030, China.
Rongrong NiMedical Department of the First Affiliated Hospital of the Army Medical University, Shapingba District, Chongqing City, 400030, China.
Sifeng WuMedical Department of the First Affiliated Hospital of the Army Medical University, Shapingba District, Chongqing City, 400030, China.
Lu DaiThe First Affiliated Hospital of Chongqing Medical University, Yubei District, Chongqing, 400020, China.
Yongjun LuoMilitary Medical Geography Teaching and Research Office of Army Medical University, Shapingba District, Chongqing City, 400030, China.
Xu LuoThe Office of the 958th Hospital of the Army Medical University, Jiangbei District, Chongqing, 400020, China. luoxu@tmmu.edu.cn.

Funding

Research and Application of Intelligent Diagnosis and Treatment Service System in Fever Clinic CSTB2022TIAD-KPX0167
6 · The paper itself

Abstract

backgroundScientific and technological advancements have significantly augmented our capacity to comprehend and manage "Disease X," while improving the efficiency and accuracy of outbreak management. Infectious disease prevention and control technology is advancing toward unmanned and intelligent methods, shifting from a traditional reactive response to public health emergencies to a more proactive and efficient outbreak management mechanism. This study aims to investigate the intelligent transformation of mobile hospitals, with the objective of bolstering their emergency response capabilities and fortifying their prevention and control strategies for unknown infectious diseases. This, in turn, seeks to mitigate the spread of epidemics and protect public health.

methodsSemi-structured interviews with 10 experts were conducted. A framework analysis was used to organize the interview results and distill the experts' overall views on the smart building of mobile hospitals.

resultsThe smart transformation of mobile hospitals plays a crucial role in responding to public health emergencies. The overall status of mobile hospitals is analyzed through five key dimensions: role and significance, characteristics, challenges, necessity and feasibility, and influencing factors.

conclusionWhen confronting public health emergencies, mobile hospitals offer significant advantages over traditional medical institutions. In addressing "Disease X," the intelligent transformation of these mobile hospitals is in accordance with contemporary trends, facilitating swift epidemic responses, precise patient management, efficient resource allocation, and improved adaptability to diverse environments and service demands. It is crucial for building a sustainable biosafety system.

Indexed as

Delivery of Health CareDisease OutbreaksMobile Health UnitsHumansPublic HealthDisease XMobile hospitalResponseSmart healthcare

Identifiers

PMID40211183
PMCPMC11987285

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.