Cardiac Monitor Alarm Customization to Reduce Alarm Frequency and Improve Staff Response Time in an Urban Academic Emergency Department

Introduction: Cardiac monitor settings impact alarm frequency.Prior literature supports alarm parameter optimizations; however, this is not standardized in the emergency department (ED).This quality improvement (QI) initiative aimed to safely reduce alarm frequency and improve staff response times through cardiac monitor alarm optimizations.Methods: This pre/post QI study was conducted in a single urban academic ED (>70,000 annual visits).Due to perceptions of significant alarm overload, baseline data of low, medium, and high-level alarm frequencies were extracted in October 2023.ED leadership implemented parameter optimizations throughout 2024 with follow-up data extraction in January 2025.Adjustments included vital sign thresholds and arrhythmia settings to reduce false alarms.Post-adjustments, study staff conducted in-person observations (July-August 2025) to classify true vs false or non-actionable alarms and record staff response times as <90 seconds (yes/no).Data was analyzed using Microsoft Excel.Preliminary results are described.Results: High-level alarms decreased 69.9% from 186,546 to 56,086.Medium level alarms decreased by 77.2% (388,144 to 88,394) and low-level alarms by 47.8% (936 to 490).During 50.75 hours of observation, 616 high-level alarms were recorded of which 74.8% were false.61.4% of false alarms were non-actionable.Among true alarms, 90.3% (n = 140) received a staff response within 90 seconds. Conclusion:Parameter customizations reduced alarm frequency overall.Response times met the set goal for most true alarms.Despite optimization, false non-actionable alarms remained prevalent.Future efforts should focus on further reducing non-actionable alarms to enhance response and minimize alarm fatigue.Longer hours of obervation will be analyzed in our future work.

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Publication Details

Journal
Journal of Scientific Innovation in Medicine
Published
2025-01-01
DOI
https://doi.org/10.29024/jsim.251
Primary Topic
Healthcare Technology and Patient Monitoring
Type
article
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article

Cardiac Monitor Alarm Customization to Reduce Alarm Frequency and Improve Staff Response Time in an Urban Academic Emergency Department

Anthony J. Duncan, Samuel E. Sondheim, E. Lavine, Eric Legome et al.
Journal of Scientific Innovation in Medicine
Healthcare Technology and Patient Monitoring
article

Cardiac Monitor Alarm Customization to Reduce Alarm Frequency and Improve Staff Response Time in an Urban Academic Emergency Department

Anthony J. Duncan, Samuel E. Sondheim, E. Lavine, Eric Legome, S. Gandham, Josef Lehmkuhler
article en

Abstract

Introduction: Cardiac monitor settings impact alarm frequency.Prior literature supports alarm parameter optimizations; however, this is not standardized in the emergency department (ED).This quality improvement (QI) initiative aimed to safely reduce alarm frequency and improve staff response times through cardiac monitor alarm optimizations.Methods: This pre/post QI study was conducted in a single urban academic ED (>70,000 annual visits).Due to perceptions of significant alarm overload, baseline data of low, medium, and high-level alarm frequencies were extracted in October 2023.ED leadership implemented parameter optimizations throughout 2024 with follow-up data extraction in January 2025.Adjustments included vital sign thresholds and arrhythmia settings to reduce false alarms.Post-adjustments, study staff conducted in-person observations (July-August 2025) to classify true vs false or non-actionable alarms and record staff response times as <90 seconds (yes/no).Data was analyzed using Microsoft Excel.Preliminary results are described.Results: High-level alarms decreased 69.9% from 186,546 to 56,086.Medium level alarms decreased by 77.2% (388,144 to 88,394) and low-level alarms by 47.8% (936 to 490).During 50.75 hours of observation, 616 high-level alarms were recorded of which 74.8% were false.61.4% of false alarms were non-actionable.Among true alarms, 90.3% (n = 140) received a staff response within 90 seconds. Conclusion:Parameter customizations reduced alarm frequency overall.Response times met the set goal for most true alarms.Despite optimization, false non-actionable alarms remained prevalent.Future efforts should focus on further reducing non-actionable alarms to enhance response and minimize alarm fatigue.Longer hours of obervation will be analyzed in our future work.

Journal of Scientific Innovation in MedicineVol. 8(2)
Mount Sinai Hospital (US), Icahn School of Medicine at Mount Sinai (US)
Openalex Percentile: Top 49%
Healthcare Technology and Patient Monitoring
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