Evidence map›Paper›PMID 38686420›Full record

ReviewSheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi2024

[Digital twin hospitals: transforming the future of healthcare].

Huijuan Hu, Mingbang Wang, Qifang Lei, Kai Yang, Haiyan Sun, Xiaocen Liu, Song Wu

Abstract readReviewEnglish Abstract
PubMed Full text at PMC Publisher
In one paragraph

Review in Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Huijuan HuKey Laboratory of Medical Digital Twins, Department of Experiment & Research, South China Hospital, Medical School, Shenzhen University, Shenzhen, Guangdong 518111, P. R. China.
Mingbang WangKey Laboratory of Medical Digital Twins, Department of Experiment & Research, South China Hospital, Medical School, Shenzhen University, Shenzhen, Guangdong 518111, P. R. China.
Qifang LeiKey Laboratory of Medical Digital Twins, Department of Experiment & Research, South China Hospital, Medical School, Shenzhen University, Shenzhen, Guangdong 518111, P. R. China.
Kai YangKey Laboratory of Medical Digital Twins, Department of Experiment & Research, South China Hospital, Medical School, Shenzhen University, Shenzhen, Guangdong 518111, P. R. China.
Haiyan SunKey Laboratory of Medical Digital Twins, Department of Experiment & Research, South China Hospital, Medical School, Shenzhen University, Shenzhen, Guangdong 518111, P. R. China.
Xiaocen LiuKey Laboratory of Medical Digital Twins, Department of Experiment & Research, South China Hospital, Medical School, Shenzhen University, Shenzhen, Guangdong 518111, P. R. China.
Song WuKey Laboratory of Medical Digital Twins, Department of Experiment & Research, South China Hospital, Medical School, Shenzhen University, Shenzhen, Guangdong 518111, P. R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since the concept of digital twin technology has been put forward, after decades of rapid development and wide application, it has not only made great achievements in many fields, but also brought broader prospects for the development of the medical field. As an important trend in the medical industry, digital twin hospitals play multiple roles by connecting physical hospitals and virtual hospitals and benefit the "patient-medical staff-hospital administrators", highlighting the immeasurable promising application of digital twin technology in smart hospitals. This review takes digital twin technology as an entry point, briefly introduces the progress of its application in various fields, focuses on the characteristics of digital twin technology, practical application cases in hospitals and their limitations, and also looks forward to its future development prospects, aiming to provide certain useful insights and guidance for the future of digital twin hospitals, and also expecting it to play an important role in changing the future of healthcare to a certain extent.

Indexed as

Delivery of Health CareDigital TechnologyHospitalsHumansDigital twin hospitalPersonalizationReal-time monitoringSmart healthcareVisualization

Identifiers

PMID38686420
PMCPMC11058498

What Socratic holds

Textmetadata
Read underepoch 390

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 Socratic graph.