Literature DB >> 19449615

Smart alarms from medical devices in the OR and ICU.

Michael Imhoff1, Silvia Kuhls, Ursula Gather, Roland Fried.   

Abstract

Alarms in medical devices are a matter of concern in critical and perioperative care. The high rate of false alarms is not only 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 in alarm algorithms are urgently needed. This review gives an overview of the current clinical situation and the underlying problems, and discusses different methods from statistics and computational science and their potential for clinical application. Some examples of the application of new alarm algorithms to clinical data are presented.

Entities:  

Mesh:

Year:  2009        PMID: 19449615     DOI: 10.1016/j.bpa.2008.07.008

Source DB:  PubMed          Journal:  Best Pract Res Clin Anaesthesiol        ISSN: 1521-6896


  10 in total

1.  Game Theoretic Approach for Systematic Feature Selection; Application in False Alarm Detection in Intensive Care Units.

Authors:  Fatemeh Afghah; Abolfazl Razi; Reza Soroushmehr; Hamid Ghanbari; Kayvan Najarian
Journal:  Entropy (Basel)       Date:  2018-03-12       Impact factor: 2.524

2.  Using Bayesian networks and rule-based trending to predict patient status in the intensive care unit.

Authors:  Cindy Crump; Sunil Saxena; Bruce Wilson; Patrick Farrell; Azhar Rafiq; Christine Tsien Silvers
Journal:  AMIA Annu Symp Proc       Date:  2009-11-14

Review 3.  What's all that noise-Improving the hospital soundscape.

Authors:  Anthony J Oleksy; Joseph J Schlesinger
Journal:  J Clin Monit Comput       Date:  2018-11-02       Impact factor: 2.502

4.  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

5.  Machine Learning and Decision Support in Critical Care.

Authors:  Alistair E W Johnson; Mohammad M Ghassemi; Shamim Nemati; Katherine E Niehaus; David A Clifton; Gari D Clifford
Journal:  Proc IEEE Inst Electr Electron Eng       Date:  2016-01-25       Impact factor: 10.961

6.  Advances in anesthesia technology are improving patient care, but many challenges remain.

Authors:  D John Doyle; Ashraf A Dahaba; Yannick LeManach
Journal:  BMC Anesthesiol       Date:  2018-04-13       Impact factor: 2.217

7.  Detecting False Alarms by Analyzing Alarm-Context Information: Algorithm Development and Validation.

Authors:  Chrystinne Fernandes; Simon Miles; Carlos José Pereira Lucena
Journal:  JMIR Med Inform       Date:  2020-05-20

8.  Artificial Intelligence Technologies for Coping with Alarm Fatigue in Hospital Environments Because of Sensory Overload: Algorithm Development and Validation.

Authors:  Chrystinne Oliveira Fernandes; Carlos José Pereira De Lucena; Donald Cowan; Simon Miles
Journal:  J Med Internet Res       Date:  2019-11-26       Impact factor: 5.428

9.  Decision-Making Application of the Cloud-Fog Hybrid Model Based on the Improved Convolutional Neural Network in Financial Services in Smart Medical Care.

Authors:  Shan Lu
Journal:  Comput Intell Neurosci       Date:  2022-08-09

Review 10.  Patient monitoring alarms in the ICU and in the operating room.

Authors:  Felix Schmid; Matthias S Goepfert; Daniel A Reuter
Journal:  Crit Care       Date:  2013-03-19       Impact factor: 9.097

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.