This paper is in the following e-collection/theme issue:

Tools, Programs and Algorithms (198) Alarm Fatigue (17) Safety and Error Prevention in Health (162)

Published on in Vol 8 , No 5 (2020) :May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/15407, first published .
Detecting False Alarms by Analyzing Alarm-Context Information: Algorithm Development and Validation

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

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

Authors of this article:

Chrystinne Fernandes 1 Author Orcid Image ;   Simon Miles 2 Author Orcid Image ;   Carlos José Pereira Lucena 1 Author Orcid Image
Article Authors Cited by (5) Tweetations (5) Metrics

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  1. Ruskin K, Ruskin A, O’Connor M. Automation failures and patient safety. Current Opinion in Anaesthesiology 2020;33(6):788 View
  2. Xu T, Xia M, Jiang H. Advances in Medicine-Engineering Crossover in Automated Anesthesia. Journal of Shanghai Jiaotong University (Science) 2022;27(2):137 View
  3. Hashim H, Clifford E, C. Ryan P. False alarm moderation for performance monitoring in industrial water distribution systems. Advanced Engineering Informatics 2022;52:101592 View
  4. López‐Espuela F, Rodríguez‐Martin B, Lavado García J, Toribio‐Felipe R, Amarilla‐Donoso F, Rodríguez Almagro J, Ribeiro A, Fernandes V, Moran‐García J. Experiences and mediating factors in nurses' responses to electronic device alarms: A phenomenological study. Journal of Nursing Management 2022;30(5):1303 View
  5. Lewandowska K, Mędrzycka-Dąbrowska W, Tomaszek L, Wujtewicz M. Determining Factors of Alarm Fatigue among Nurses in Intensive Care Units—A Polish Pilot Study. Journal of Clinical Medicine 2023;12(9):3120 View