Results 21 to 30 of about 62,966 (222)

Lean back and wait for the alarm? Testing an automated alarm system for nosocomial outbreaks to provide support for infection control professionals [PDF]

open access: yes, 2020
INTRODUCTION: Outbreaks of communicable diseases in hospitals need to be quickly detected in order to enable immediate control. The increasing digitalization of hospital data processing offers potential solutions for automated outbreak detection systems
Aghdassi, Seven Johannes Sam   +9 more
core   +1 more source

The influence of nursing activities score on clinical alarms service [PDF]

open access: yesRevista Brasileira de Enfermagem, 2020
Objectives: to estimate the magnitude of the Nursing Activities Score effect on multiparametric monitor alarm response and staff response time. Methods: an observational, cross-sectional study outlined as an open cohort, performed in an Adult General ...
Aline Affonso Luna   +2 more
doaj   +3 more sources

Non-Contact Video-Based Neonatal Respiratory Monitoring

open access: yesChildren, 2020
Respiratory rate (RR) has been shown to be a reliable predictor of cardio-pulmonary deterioration, but standard RR monitoring methods in the neonatal intensive care units (NICU) with contact leads have been related to iatrogenic complications.
Scott L. Rossol   +6 more
doaj   +1 more source

Learning medical alarms whilst performing other tasks. [PDF]

open access: yes, 2013
Two studies are reported which first observe, and then attempt to replicate, the cognitive demands of intensive care unit (ICU) activity whilst concurrently learning audible alarms.
Edworthy, J   +3 more
core   +3 more sources

The heuristics of nurse responsiveness to critical patient monitor and ventilator alarms in a private room neonatal intensive care unit. [PDF]

open access: yesPLoS ONE, 2017
Alarm fatigue is a well-recognized patient safety concern in intensive care settings. Decreased nurse responsiveness and slow response times to alarms are the potentially dangerous consequences of alarm fatigue. The aim of this study was to determine the
Rohan Joshi   +4 more
doaj   +1 more source

The proportion of clinically relevant alarms decreases as patient clinical severity decreases in intensive care units: a pilot study

open access: yesBMJ Open, 2013
Objectives To determine (1) the proportion and number of clinically relevant alarms based on the type of monitoring device; (2) whether patient clinical severity, based on the sequential organ failure assessment (SOFA) score, affects the proportion of ...
Ryota Inokuchi   +15 more
doaj   +1 more source

Assessing causes of alarm fatigue in long-term acute care and its impact on identifying clinical changes in patient conditions

open access: yesInformatics in Medicine Unlocked, 2020
Physiologic alarms are an important modality in the care of critically ill patients. Yet the many electronic devices used in patient care and the combination of alarms can cause sensory overload in caregivers.
Kathy Baker, James Rodger
doaj   +1 more source

Syndromic surveillance of influenza-like illness in Scotland during the influenza A H1N1v pandemic and beyond [PDF]

open access: yes, 2012
Syndromic surveillance refers to the rapid monitoring of syndromic data to highlight and follow outbreaks of infectious diseases, increasing situational awareness.
Box   +35 more
core   +2 more sources

Nurses' Perceptions and Practices Toward Clinical Alarms in a Transplant Cardiac Intensive Care Unit: Exploring Key Issues Leading to Alarm Fatigue

open access: yesJMIR Human Factors, 2015
BackgroundIntensive care units (ICUs) are complex work environments where false alarms occur more frequently than on non-critical care units. The Joint Commission National Patient Safety Goal .06.01.01 targeted improving the safety of clinical alarm ...
Sowan, Azizeh Khaled   +4 more
doaj   +1 more source

Adding Recognition Discriminability Index to the Delayed Recall Is Useful to Predict Conversion from Mild Cognitive Impairment to Alzheimer's Disease in the Alzheimer's Disease Neuroimaging Initiative [PDF]

open access: yes, 2017
Background: Ongoing research is focusing on the identification of those individuals with mild cognitive impairment (MCI) who are most likely to convert to Alzheimer's disease (AD).
Gustavo Sevlever   +5 more
core   +1 more source

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