Situation Awareness-Oriented Patient Monitoring with Visual Patient Technology: A Qualitative Review of the Primary Research

Visual Patient technology is a situation awareness-oriented visualization technology that translates numerical and waveform patient monitoring data into a new user-centered visual language. Vital sign values are converted into colors, shapes, and rhythmic movements-a language humans can easily perce...

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Bibliographic Details
Published in:Sensors (Basel, Switzerland) Switzerland), 2020-04, Vol.20 (7), p.2112
Main Authors: Tscholl, David Werner, Rössler, Julian, Said, Sadiq, Kaserer, Alexander, Spahn, Donat Rudolf, Nöthiger, Christoph Beat
Format: Article
Language:English
Subjects:
avatar-based technology
Aviation
Awareness
Clinical decision making
Computer simulation
Decision making
Diagnostic systems
Eye Movements
Heart Rate
Humans
Monitoring
Monitoring, Physiologic - methods
Patient safety
Pattern Recognition, Automated
Respiratory Rate
Review
Sensors
situation awareness
Situational awareness
Technology assessment
Visual Patient
Waveforms
Workload
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Summary:Visual Patient technology is a situation awareness-oriented visualization technology that translates numerical and waveform patient monitoring data into a new user-centered visual language. Vital sign values are converted into colors, shapes, and rhythmic movements-a language humans can easily perceive and interpret-on a patient avatar model in real time. In this review, we summarize the current state of the research on the Visual Patient, including the technology, its history, and its scientific context. We also provide a summary of our primary research and a brief overview of research work on similar user-centered visualizations in medicine. In several computer-based studies under various experimental conditions, Visual Patient transferred more information per unit time, increased perceived diagnostic certainty, and lowered perceived workload. Eye tracking showed the technology worked because of the way it synthesizes and transforms vital sign information into new and logical forms corresponding to the real phenomena. The technology could be particularly useful for improving situation awareness in settings with high cognitive demand or when users must make quick decisions. This comprehensive review of Visual Patient research is the foundation for an evaluation of the technology in clinical applications, starting with a high-fidelity simulation study in early 2020.
ISSN:1424-8220
1424-8220
DOI:10.3390/s20072112