Literature DB >> 16632837

Alarm algorithms in critical care monitoring.

Michael Imhoff1, Silvia Kuhls.   

Abstract

The alarms of medical devices are a matter of concern in critical and perioperative care. The frequent false alarms not only are a nuisance for patients and caregivers but can also compromise patient safety and effectiveness of care. The development of alarm systems has lagged behind the technological advances of medical devices over the last 20 years. From a clinical perspective, major improvements of alarm algorithms are urgently needed. We give an overview of the current clinical situation and the underlying problems and discuss different methods from statistics and computational science and their potential for clinical application.

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Year:  2006        PMID: 16632837     DOI: 10.1213/01.ane.0000204385.01983.61

Source DB:  PubMed          Journal:  Anesth Analg        ISSN: 0003-2999            Impact factor:   5.108


  41 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.  [Noise in intensive care units. Do the alarms for subspecialties differ].

Authors:  S Siebig; S Kuhls; U Gather; M Imhoff; T Müller; T Bein; B Trabold; S Bele; C E Wrede
Journal:  Anaesthesist       Date:  2009-03       Impact factor: 1.041

3.  A knowledge authoring tool for clinical decision support.

Authors:  Dustin Dunsmuir; Jeremy Daniels; Christopher Brouse; Simon Ford; J Mark Ansermino
Journal:  J Clin Monit Comput       Date:  2008-05-08       Impact factor: 2.502

4.  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

5.  Machine learning applied to multi-sensor information to reduce false alarm rate in the ICU.

Authors:  Gal Hever; Liel Cohen; Michael F O'Connor; Idit Matot; Boaz Lerner; Yuval Bitan
Journal:  J Clin Monit Comput       Date:  2019-04-06       Impact factor: 2.502

6.  The rise of ward monitoring: opportunities and challenges for critical care specialists.

Authors:  Frederic Michard; Rinaldo Bellomo; Andreas Taenzer
Journal:  Intensive Care Med       Date:  2018-09-27       Impact factor: 17.440

7.  A robust approach toward recognizing valid arterial-blood-pressure pulses.

Authors:  Shadnaz Asgari; Marvin Bergsneider; Xiao Hu
Journal:  IEEE Trans Inf Technol Biomed       Date:  2009-10-30

8.  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

Review 9.  Connecting the dots: rule-based decision support systems in the modern EMR era.

Authors:  Vitaly Herasevich; Daryl J Kor; Arun Subramanian; Brian W Pickering
Journal:  J Clin Monit Comput       Date:  2013-02-28       Impact factor: 2.502

10.  Robust parameter extraction for decision support using multimodal intensive care data.

Authors:  G D Clifford; W J Long; G B Moody; P Szolovits
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2009-01-28       Impact factor: 4.226

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