Evidence map›Paper›PMID 40781393›Full record

ArticleCommunications medicine2025

A retrospective cross-sectional study showing wearable smartwatches enhance patient safety and efficiency in the intensive care unit.

Xinyue Ma, Lei Wang, Shishuai Meng, Ruifeng Xu, Ru Chen, Xiuhua Zhang, Mengyang Xin, Jiannan Zhang, Yang Chong, Peiyao Luo and 4 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Communications medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. 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

14 authors.

Xinyue Ma *Department of Critical Care Medicine of the First Affiliated Hospital of Harbin Medical University, Harbin, Hei longjiang, China.
Lei Wang *Department of Critical Care Medicine of the First Affiliated Hospital of Harbin Medical University, Harbin, Hei longjiang, China.
Shishuai Meng *Department of Critical Care Medicine of the First Affiliated Hospital of Harbin Medical University, Harbin, Hei longjiang, China.
Ruifeng XuDepartment of Critical Care Medicine of the First Affiliated Hospital of Harbin Medical University, Harbin, Hei longjiang, China.
Ru ChenDepartment of Critical Care Medicine of the First Affiliated Hospital of Harbin Medical University, Harbin, Hei longjiang, China.
Xiuhua ZhangDepartment of Critical Care Medicine of the First Affiliated Hospital of Harbin Medical University, Harbin, Hei longjiang, China.
Mengyang XinDepartment of Critical Care Medicine of the First Affiliated Hospital of Harbin Medical University, Harbin, Hei longjiang, China.
Jiannan ZhangDepartment of Critical Care Medicine of the First Affiliated Hospital of Harbin Medical University, Harbin, Hei longjiang, China.
Yang ChongDepartment of Critical Care Medicine of the First Affiliated Hospital of Harbin Medical University, Harbin, Hei longjiang, China.
Peiyao LuoDepartment of Critical Care Medicine of the First Affiliated Hospital of Harbin Medical University, Harbin, Hei longjiang, China.
Yiqi WangDepartment of Critical Care Medicine of the First Affiliated Hospital of Harbin Medical University, Harbin, Hei longjiang, China.
Mingbo ZhaoDepartment of Critical Care Medicine of the First Affiliated Hospital of Harbin Medical University, Harbin, Hei longjiang, China.
Mingyan ZhaoDepartment of Critical Care Medicine of the First Affiliated Hospital of Harbin Medical University, Harbin, Hei longjiang, China.
Wei YangDepartment of Critical Care Medicine of the First Affiliated Hospital of Harbin Medical University, Harbin, Hei longjiang, China. icuyangwei@sina.com.ORCID http://orcid.org/0000-0003-4506-0843

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWearable smartwatches present a novel approach to continuous patient monitoring in ICU settings, with the potential to enhance patient safety and clinical efficiency.

methodsThis retrospective cross-sectional study evaluated the impact of smartwatch use on alarm response rates and clinical outcomes in a 27-bed ICU. Data were collected over two periods: pre-implementation (May 12, 2023, to July 11, 2023) and post-implementation (October 22, 2023, to December 22, 2023) of smartwatches worn by healthcare workers.

resultsOur findings indicate that the adoption of smartwatches significantly improves alarm response rates from 12.58% to 14.85% (p < 0.0001). In addition, the reduction in response time, fatal and high alert, medium alert, and low alert within 30 s response rates increased from 51.51%,70.42%, and 74.03% to 60.04%, 74.02%, and 76.71%, respectively (p < 0.0001), resulting in fewer high and fatal alerts. Moreover, the use of smartwatches is associated with reduced durations of mechanical ventilation and ICU stays, signifying improved clinical outcomes.

conclusionsWearable technology has the potential to simplify ICU operations, reduce alarm fatigue, and ultimately improve patient care and reduce adverse events.

Identifiers

PMID40781393
PMCPMC12334702

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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.