Literature DB >> 23022300

Clinical alarm hazards: a "top ten" health technology safety concern.

James P Keller1.   

Abstract

For the past several years ECRI Institute has published a list of Top Ten Health Technology Hazards. This list is based on ECRI's extensive research in health technology safety and on data provided to its problemreporting systems. For every year that the Top Ten list has been published, Alarm Hazards have been at or near the top of the list. Improving alarm safety requires a systematic review of a hospital's alarm-based technologies and analysis of alarm management policies like alarm escalation strategies and staffing patterns. It also requires careful selection of alarm setting criteria for each clinical care area. This article will overview the clinical alarm problems that have been identified through ECRI Institute's research and analysis of various problem reporting databases, including those operated by ECRI Institute. It will also highlight suggestions for improvement, particularly from a technology design and technology management perspective.
Copyright © 2012 Elsevier Inc. All rights reserved.

Mesh:

Year:  2012        PMID: 23022300     DOI: 10.1016/j.jelectrocard.2012.08.050

Source DB:  PubMed          Journal:  J Electrocardiol        ISSN: 0022-0736            Impact factor:   1.438


  14 in total

1.  Predictive Monitoring of Critical Cardiorespiratory Alarms in Neonates Under Intensive Care.

Authors:  Rohan Joshi; Zheng Peng; Xi Long; Loe Feijs; Peter Andriessen; Carola Van Pul
Journal:  IEEE J Transl Eng Health Med       Date:  2019-11-22       Impact factor: 3.316

2.  The tradeoffs between safety and alert fatigue: Data from a national evaluation of hospital medication-related clinical decision support.

Authors:  Zoe Co; A Jay Holmgren; David C Classen; Lisa Newmark; Diane L Seger; Melissa Danforth; David W Bates
Journal:  J Am Med Inform Assoc       Date:  2020-08-01       Impact factor: 4.497

3.  A nurses' alarm fatigue questionnaire: development and psychometric properties.

Authors:  Camellia Torabizadeh; Amirhossein Yousefinya; Farid Zand; Mahnaz Rakhshan; Mohammad Fararooei
Journal:  J Clin Monit Comput       Date:  2016-11-15       Impact factor: 2.502

4.  Using Supervised Machine Learning to Classify Real Alerts and Artifact in Online Multisignal Vital Sign Monitoring Data.

Authors:  Lujie Chen; Artur Dubrawski; Donghan Wang; Madalina Fiterau; Mathieu Guillame-Bert; Eliezer Bose; Ata M Kaynar; David J Wallace; Jane Guttendorf; Gilles Clermont; Michael R Pinsky; Marilyn Hravnak
Journal:  Crit Care Med       Date:  2016-07       Impact factor: 7.598

5.  Insights into the problem of alarm fatigue with physiologic monitor devices: a comprehensive observational study of consecutive intensive care unit patients.

Authors:  Barbara J Drew; Patricia Harris; Jessica K Zègre-Hemsey; Tina Mammone; Daniel Schindler; Rebeca Salas-Boni; Yong Bai; Adelita Tinoco; Quan Ding; Xiao Hu
Journal:  PLoS One       Date:  2014-10-22       Impact factor: 3.240

6.  Effectiveness of application of a manual for improvement of alarms management by nurses in Intensive Care Units.

Authors:  Amirhossein Yousefinya; Camellia Torabizadeh; Farid Zand; Mahnaz Rakhshan; Mohammad Fararooei
Journal:  Invest Educ Enferm       Date:  2021-06

7.  Advanced Monitoring Is Associated with Fewer Alarm Events During Planned Moderate Procedure-Related Sedation: A 2-Part Pilot Trial.

Authors:  Richard L Applegate; John Lenart; Mathew Malkin; Minhthy N Meineke; Silvana Qoshlli; Monica Neumann; J Paul Jacobson; Alison Kruger; Jeffrey Ching; Mohammad Hassanian; Michael Um
Journal:  Anesth Analg       Date:  2016-04       Impact factor: 5.108

8.  A Strategy to Reduce Critical Cardiorespiratory Alarms due to Intermittent Enteral Feeding of Preterm Neonates in Intensive Care.

Authors:  Rohan Joshi; Carola van Pul; Anouk Sanders; Hans Weda; Jan Willem Bikker; Loe Feijs; Peter Andriessen
Journal:  Interact J Med Res       Date:  2017-10-20

9.  Frequency of Passive EHR Alerts in the ICU: Another Form of Alert Fatigue?

Authors:  Vanessa Kizzier-Carnahan; Kathryn A Artis; Vishnu Mohan; Jeffrey A Gold
Journal:  J Patient Saf       Date:  2019-09       Impact factor: 2.844

10.  Reduction of false alarms in the intensive care unit using an optimized machine learning based approach.

Authors:  Wan-Tai M Au-Yeung; Ashish K Sahani; Eric M Isselbacher; Antonis A Armoundas
Journal:  NPJ Digit Med       Date:  2019-09-05
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