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If you want to understand how behavior occurs, one of the best ways to gain information is to simply observe the behavior in its natural context. However, people might change their behavior in unexpected ways if they know they are being observed. How do researchers obtain accurate information when people tend to hide their natural behavior? As an example, imagine that your professor asks everyone in your class to raise their hand if they always wash their hands after using the restroom. Chances...
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Alarm Management in Intensive Care: Qualitative Triangulation Study.

Lina Mosch1,2, Meltem Sümer3, Anne Rike Flint1

  • 1Institute of Medical Informatics, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt Universität zu Berlin, Berlin, Germany.

JMIR Human Factors
|June 18, 2024
PubMed
Summary
This summary is machine-generated.

Intensive care staff frequently interact with patient monitoring systems, but current alarm management practices are ad hoc and problematic. Improved alarm solutions require user-centered design and integration with clinical workflows.

Keywords:
EuropeEuropeanGermanGermanyICUalarmalarmsartificial intelligenceattitudeattitudesdigital healthethnographicethnographyexperienceexperiencesgrounded theoryintelligentintensive careintensive care unitinterviewinterviewsopinionopinionspatient-centered careperceptionperceptionsperspectiveperspectivesqualitativetechnological innovationtransdisciplinary research

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Area of Science:

  • Clinical Informatics
  • Human-Computer Interaction
  • Healthcare Management

Background:

  • High rates of unnecessary alarms in intensive care units (ICUs) contribute to alarm fatigue.
  • Alarm fatigue compromises patient safety and necessitates effective alarm management strategies.

Purpose of the Study:

  • To investigate nurse and physician interactions with patient monitoring systems.
  • To understand perceptions of current alarm management practices.
  • To explore views on smart alarm management solutions.

Main Methods:

  • Qualitative, ethnographic, multimethods study in a German university hospital ICU.
  • Data collection included 102 hours of field observations and 12 semistructured interviews.
  • Inductive, grounded theory approach used for data analysis.

Main Results:

  • Staff interact with continuous vital sign monitoring systems throughout their work.
  • No standardized alarm management protocols exist; reactions are ad hoc and perceived as problematic.
  • Intelligent alarm management is viewed positively if suggestions are understandable and traceable.

Conclusions:

  • Patient monitoring system interactions are integral to ICU workflows and decision-making.
  • Existing alarm management standards and workflows are deficient.
  • Future alarm management solutions must prioritize user needs, workflows, and real-world data.