Evidence map›Paper›PMID 41927635›Full record

ArticleScientific reports2026

Evaluation of off-the-shelf wearable for ambulatory clinical event monitoring and patient localization in hospital settings.

Keita Fukuyama, Ryo Sakamoto, Koji Fujimoto, Motoo Nomura, Koichiro Kamada, Yuji Nakamoto, Tomohiko Kuroda

Abstract read
In one paragraph

Article in Scientific reports, 2026. 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.

Keita FukuyamaDivision of Medical Information Technology and Administration Planning, Kyoto University Hospital, Kyoto, Japan. fkeita@kuhp.kyoto-u.ac.jp.
Ryo SakamotoDepartment of Real World Data Research and Development, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Koji FujimotoDepartment of Advanced Imaging in Medical Magnetic Resonance, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Motoo NomuraDepartment of Head and Neck Oncology and Innovative Treatment, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Koichiro KamadaFaculty of Medicine, Kyoto University, Kyoto, Japan.
Yuji NakamotoDepartment of Diagnostic Imaging and Nuclear Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Tomohiko KurodaDivision of Medical Information Technology and Administration Planning, Kyoto University Hospital, Kyoto, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Continuous monitoring of ambulatory patients within hospital settings remains a major challenge in modern healthcare. This study presents an objective and quantitative evaluation of the feasibility of using off-the-shelf wearable devices for real-time clinical event monitoring and patient localization in hospital environments. We developed and assessed an integrated system combining two consumer-grade smartwatch models from a single manufacturer (Garmin Vivoactive 5 and Venu Sq 2) with smartphones to monitor heart rate and patient location. System performance was quantitatively evaluated in 10 healthy volunteers across multiple hospital scenarios. Key findings include: tachycardia detection delays with a median of 3 min 49 s compared to medical-grade electrocardiogram; indoor location accuracy with median errors of 3.9 m (longitude) and 3.0 m (latitude); a systematic altitude error of approximately 40 m; and linear staff response times increasing by 0.78 s per meter of distance. Signal loss was detected on average 3 min and 3 s after device removal, with one notification failure observed among 10 test conditions. These quantitative performance metrics represent the first observational assessment of integrating consumer-grade wearables into hospital monitoring systems designed to assist previously unmonitored patients during emergencies. Although current consumer devices have limitations compared with medical-grade equipment, this foundational evaluation demonstrates the feasibility of such systems and establishes performance benchmarks for scalable, low-cost patient monitoring solutions in modern healthcare settings.

Indexed as

Monitoring, AmbulatoryWearable Electronic DevicesAdultDigital HealthFemaleHeart RateHospitalsHumansMaleMonitoring, PhysiologicRemote Patient MonitoringSmartphoneAmbulatory monitoringClinical event detectionConsumer electronicsHospital monitoring systemsReal-time location systemsWearable technology

Identifiers

PMID41927635
PMCPMC13187006

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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.