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Computer Assisted Patient Monitoring: Associated Patient, Clinical and ECG Characteristics and Strategy to Minimize False Alarms

School of Nursing, University of California, San Francisco, CA 94143, USA
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Academic Editor: Peter Macfarlane
Hearts 2021, 2(4), 459-471; https://doi.org/10.3390/hearts2040036
Received: 29 July 2021 / Revised: 19 September 2021 / Accepted: 25 September 2021 / Published: 1 October 2021
(This article belongs to the Special Issue The Application of Computer Techniques to ECG Interpretation)
This chapter is a review of studies that have examined false arrhythmia alarms during in-hospital electrocardiographic (ECG) monitoring in the intensive care unit. In addition, we describe an annotation effort being conducted at the UCSF School of Nursing, Center for Physiologic Research designed to improve algorithms for lethal arrhythmias (i.e., asystole, ventricular fibrillation, and ventricular tachycardia). Background: Alarm fatigue is a serious patient safety hazard among hospitalized patients. Data from the past five years, showed that alarm fatigue was responsible for over 650 deaths, which is likely lower than the actual number due to under-reporting. Arrhythmia alarms are a common source of false alarms and 90% are false. While clinical scientists have implemented a number of interventions to reduce these types of alarms (e.g., customized alarm settings; daily skin electrode changes; disposable vs. non-disposable lead wires; and education), only minor improvements have been made. This is likely as these interventions do not address the primary problem of false arrhythmia alarms, namely deficient and outdated arrhythmia algorithms. In this chapter we will describe a number of ECG features associated with false arrhythmia alarms. In addition, we briefly discuss an annotation effort our group has undertaken to improve lethal arrhythmia algorithms. View Full-Text
Keywords: alarm fatigue; annotation of ECG data; arrhythmia alarms; intensive care unit; patient monitoring alarm fatigue; annotation of ECG data; arrhythmia alarms; intensive care unit; patient monitoring
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MDPI and ACS Style

Pelter, M.M.; Mortara, D.; Badilini, F. Computer Assisted Patient Monitoring: Associated Patient, Clinical and ECG Characteristics and Strategy to Minimize False Alarms. Hearts 2021, 2, 459-471. https://doi.org/10.3390/hearts2040036

AMA Style

Pelter MM, Mortara D, Badilini F. Computer Assisted Patient Monitoring: Associated Patient, Clinical and ECG Characteristics and Strategy to Minimize False Alarms. Hearts. 2021; 2(4):459-471. https://doi.org/10.3390/hearts2040036

Chicago/Turabian Style

Pelter, Michele M., David Mortara, and Fabio Badilini. 2021. "Computer Assisted Patient Monitoring: Associated Patient, Clinical and ECG Characteristics and Strategy to Minimize False Alarms" Hearts 2, no. 4: 459-471. https://doi.org/10.3390/hearts2040036

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