Literature DB >> 21366502

Medical device alarms.

Matthias Borowski1, Matthias Görges, Roland Fried, Olaf Such, Christian Wrede, Michael Imhoff.   

Abstract

The high number of false positive alarms has long been known to be a serious problem in critical care medicine - yet it remains unresolved. At the same time, threats to patient safety due to missing or suppressed alarms are being reported. The purpose of this paper is to present results from a workshop titled "Too many alarms? Too few alarms?" organized by the Section Patient Monitoring and the Workgroup Alarms of the German Association of Biomedical Engineering of the Association for Electrical, Electronic and Information Technologies. The current situation regarding alarms and their problems in intensive care, such as lack of clinical relevance, alarm fatigue, workload increases due to clinically irrelevant alarms, usability problems in alarm systems, problems with manuals and training, and missing alarms due to operator error are outlined, followed by a discussion of solutions and strategies to improve the current situation. Finally, the need for more research and development, focusing on signal quality considerations, networking of medical devices at the bedside, diagnostic alarms and predictive warnings, usability of alarm systems, education of healthcare providers, creation of annotated clinical databases for testing, standardization efforts, and patient monitoring in the regular ward, are called for.

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Year:  2011        PMID: 21366502     DOI: 10.1515/BMT.2011.005

Source DB:  PubMed          Journal:  Biomed Tech (Berl)        ISSN: 0013-5585            Impact factor:   1.411


  12 in total

1.  Is the Sequence of SuperAlarm Triggers More Predictive Than Sequence of the Currently Utilized Patient Monitor Alarms?

Authors:  Yong Bai; Duc Do; Quan Ding; Jorge Arroyo Palacios; Yalda Shahriari; Michele M Pelter; Noel Boyle; Richard Fidler; Xiao Hu
Journal:  IEEE Trans Biomed Eng       Date:  2016-06-30       Impact factor: 4.538

2.  Predictive data mining on monitoring data from the intensive care unit.

Authors:  Fabian Güiza; Jelle Van Eyck; Geert Meyfroidt
Journal:  J Clin Monit Comput       Date:  2012-11-24       Impact factor: 2.502

3.  Clinician-Driven Design of VitalPAD-An Intelligent Monitoring and Communication Device to Improve Patient Safety in the Intensive Care Unit.

Authors:  Luisa Flohr; Shaylene Beaudry; K Taneille Johnson; Nicholas West; Catherine M Burns; J Mark Ansermino; Guy A Dumont; David Wensley; Peter Skippen; Matthias Gorges
Journal:  IEEE J Transl Eng Health Med       Date:  2018-03-05       Impact factor: 3.316

4.  Assessing ECG signal quality indices to discriminate ECGs with artefacts from pathologically different arrhythmic ECGs.

Authors:  C Daluwatte; L Johannesen; L Galeotti; J Vicente; D G Strauss; C G Scully
Journal:  Physiol Meas       Date:  2016-07-25       Impact factor: 2.833

5.  Developing new predictive alarms based on ECG metrics for bradyasystolic cardiac arrest.

Authors:  Quan Ding; Yong Bai; Adelita Tinoco; David Mortara; Duc Do; Noel G Boyle; Michele M Pelter; Xiao Hu
Journal:  Physiol Meas       Date:  2015-10-26       Impact factor: 2.833

6.  Retrospective analysis of pulse oximeter alarm settings in an intensive care unit patient population.

Authors:  Krystal Lansdowne; David G Strauss; Christopher G Scully
Journal:  BMC Nurs       Date:  2016-06-02

7.  Clinical Alarms in Intensive Care Units: Perceived Obstacles of Alarm Management and Alarm Fatigue in Nurses.

Authors:  Ok Min Cho; Hwasoon Kim; Young Whee Lee; Insook Cho
Journal:  Healthc Inform Res       Date:  2016-01-31

8.  A Framework to Assess Alarm Fatigue Indicators in Critical Care Staff.

Authors:  David Claudio; Shuchisnigdha Deb; Elizabeth Diegel
Journal:  Crit Care Explor       Date:  2021-06-14

9.  "I Can Remember Sort of Vivid People…but to Me They Were Plasticine." Delusions on the Intensive Care Unit: What Do Patients Think Is Going On?

Authors:  Julie L Darbyshire; Paul R Greig; Sarah Vollam; J Duncan Young; Lisa Hinton
Journal:  PLoS One       Date:  2016-04-20       Impact factor: 3.240

10.  Faster clinical response to the onset of adverse events: A wearable metacognitive attention aid for nurse triage of clinical alarms.

Authors:  Daniel C McFarlane; Alexa K Doig; James A Agutter; Lara M Brewer; Noah D Syroid; Ranjeev Mittu
Journal:  PLoS One       Date:  2018-05-16       Impact factor: 3.240

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