Evidence map›Paper›PMID 41851183›Full record

ArticleScientific reports2026

A comprehensive cross-sectional study of bedside monitor alarm characteristics and alarm load across hospital units.

Karina Kraevsky, Sajida Aqtash, Fanurs Chi-En Teh, Michael R Pinsky, Gilles Clermont, Marilyn Hravnak, Salah S Al-Zaiti

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. 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. Article
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.

Karina KraevskyUniversity of Pittsburgh, Pittsburgh, PA, USA. kak384@pitt.edu.
Sajida AqtashUniversity of Rochester, Rochester, NY, USA.
Fanurs Chi-En TehCarnegie Mellon University, Pittsburgh, PA, USA.
Michael R PinskyUniversity of Pittsburgh, Pittsburgh, PA, USA.
Gilles ClermontUniversity of Pittsburgh, Pittsburgh, PA, USA.
Marilyn HravnakUniversity of Pittsburgh, Pittsburgh, PA, USA.
Salah S Al-ZaitiUniversity of Rochester, Rochester, NY, USA.

Funding

Predicting Patient Instability Noninvasively for Nursing Care-Two (PPINNC-2)R01NR013912 · NINR · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI AL-ZAITI, SALAH S, CLERMONT, GILLES · 2012 to 2025
$7.0M
Emergency Medicine Research TrainingT32HL134615 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Clifton W. Callaway, DONALD M YEALY · 2017 to 2026
$2.4M
NHLBI NIH HHS T32 HL134615NINR NIH HHS R01 NR013912NINR NIH HHS R01NR13912
6 · The paper itself

Abstract

Bedside physiologic monitor alarms negatively contribute to clinician cognitive burden and patient wellbeing in hospital intermediate (IMCU) and intensive (ICU) care units. This was a cross-sectional study to characterize the types, sources, annunciation modality and prevalence of alarms generated by bedside patient monitors, as well as their distributions and hourly alarm load across 3 ICUs and 1 IMCU. Analyzing > 2 million monitoring hours from 17,442 patient encounters (59 ± 18 years, 14% Black, 43% female) over 5 years, we identified 65.6 million alarms. Of all alarms, 74% were silent while 26% were audible. Most alarms (88%) were technical, unrelated to patient condition, while 12% were physiologic, suggesting clinical instability. Among audible alarms, 68% arose from technical issues. The IMCU averaged 5 audible alarms per patient-hour, of which 67% were technical. ICUs experienced up to 10 audible alarms per patient-hour, with 54% of them technical. This comprehensive study of monitoring alerts shows that alarms in IMCUs and ICUs are predominantly technical, highlighting opportunities to refine monitoring technologies and management strategies. Such improvements would help clinicians focus on alarms signaling true changes in patient physiologic status and reduce the cognitive burden of frequent alarms, which can contribute to alarm fatigue and worsen patient outcomes.

Indexed as

Clinical AlarmsPoint-of-Care SystemsCross-Sectional StudiesFemaleHumansIntensive Care UnitsMaleMiddle AgedMonitoring, PhysiologicAlarm fatigueClinical alarmsContinuous patient monitoringMonitoring sensorsPhysiologic alarmsTechnical alarms

Identifiers

PMID41851183
PMCPMC13106627

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.