Evidence map›Paper›PMID 41059086›Full record

ReviewJournal of multidisciplinary healthcare2025

Applications and Prospects of Digital Health Technologies in Cardiovascular Nursing: Smart Devices, Remote Monitoring, and Personalized Care.

Bin Li, Yulian Huang, Wenjia Mao, Jiajun Liu, Qiao Ma

Abstract readReview
In one paragraph

Review in Journal of multidisciplinary healthcare, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

5 authors.

Bin LiDepartment of Nursing, the Fourth Affiliated Hospital of School of Medicine and International School of Medicine, International Institutes of Medicine, Zhejiang University, Yiwu, Zhejiang, 322000, People's Republic of China.ORCID 0009-0004-0787-7275
Yulian HuangDepartment of Nursing, the Fourth Affiliated Hospital of School of Medicine and International School of Medicine, International Institutes of Medicine, Zhejiang University, Yiwu, Zhejiang, 322000, People's Republic of China.
Wenjia MaoDepartment of Nursing, the Fourth Affiliated Hospital of School of Medicine and International School of Medicine, International Institutes of Medicine, Zhejiang University, Yiwu, Zhejiang, 322000, People's Republic of China.ORCID 0009-0009-8275-5549
Jiajun LiuDepartment of Nursing, the Fourth Affiliated Hospital of School of Medicine and International School of Medicine, International Institutes of Medicine, Zhejiang University, Yiwu, Zhejiang, 322000, People's Republic of China.
Qiao MaDepartment of Nursing, the Fourth Affiliated Hospital of School of Medicine and International School of Medicine, International Institutes of Medicine, Zhejiang University, Yiwu, Zhejiang, 322000, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cardiovascular disease (CVD), the leading cause of death among non-communicable diseases worldwide, demands innovative approaches in prevention and nursing care. With the rapid advancement of digital health technologies, cardiovascular nursing is undergoing an unprecedented transformation. Core applications include wearable devices for continuous heart rate and rhythm monitoring, implantable devices such as pacemakers and smart stents for real-time physiological assessment, remote monitoring platforms for early warning and intervention in heart failure, and big-data-driven personalized care strategies supported by artificial intelligence. Evidence shows that these technologies can reduce readmission rates, improve treatment adherence, and enable up to 82% of patients to self-manage blood pressure and glucose. This review summarized current applications of digital health technologies in cardiovascular nursing and discussed their future prospects, aiming to provide a theoretical foundation for their further integration into clinical practice.

Indexed as

cardiovascular diseasedigital healthpersonalized caresmart device

Identifiers

PMID41059086
PMCPMC12499597

What OpenQuestion holds

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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.