Do Alarm Cues on <scp>ECG</scp> Monitors Enhance <scp>ICU</scp> Nurses' Detection of Abnormal Data? Evidence From an Eye‐Tracking Experiment

Alarm systems should be parameter-specific and adaptive, adjusting cue salience to data context to minimise attentional tunnelling. Co-locating cues with the corresponding numeric/waveform fields and using graded, multi-layered indicators (rather than a single global alert) can support rapid yet comprehensive scanning. Brief scan-path prompts or training that requires verification of non-cued parameters may mitigate missed abnormalities. These strategies can help nurses sustain fast responses without sacrificing holistic monitoring.

Authors

Institutions

Publication Details

Journal
Nursing in Critical Care
Published
2026-01-01
DOI
https://doi.org/10.1111/nicc.70342
Primary Topic
Healthcare Technology and Patient Monitoring
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Do Alarm Cues on ECG Monitors Enhance ICU Nurses' Detection of Abnormal Data? Evidence From an Eye‐Tracking Experiment

Wu Xb, Jiashuai Li, Huiling Hu, Tingting Feng et al.
Nursing in Critical Care
Healthcare Technology and Patient Monitoring
article

Do Alarm Cues on ECG Monitors Enhance ICU Nurses' Detection of Abnormal Data? Evidence From an Eye‐Tracking Experiment

Wu Xb, Jiashuai Li, Huiling Hu, Tingting Feng, Hui Ge, Shumei Zhang
article en

Abstract

Alarm systems should be parameter-specific and adaptive, adjusting cue salience to data context to minimise attentional tunnelling. Co-locating cues with the corresponding numeric/waveform fields and using graded, multi-layered indicators (rather than a single global alert) can support rapid yet comprehensive scanning. Brief scan-path prompts or training that requires verification of non-cued parameters may mitigate missed abnormalities. These strategies can help nurses sustain fast responses without sacrificing holistic monitoring.

Nursing in Critical CareVol. 31(1)
Chinese Academy of Medical Sciences & Peking Union Medical College (CN), Peking University (CN)
Openalex Percentile: Top 94%
Healthcare Technology and Patient Monitoring
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.