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Utilizing virtual reality to improve ICU visual displays.

Nathan Zhang1, Joy Zou2, Sungmin Kwon3

  • 1Department of Biomedical Engineering, Vanderbilt University, 2301 Vanderbilt Place, Nashville, TN 37235, USA; Vanderbilt University School of Medicine, 1161 21st Ave S, Nashville, TN 37232, USA.

International Journal of Medical Informatics
|March 8, 2026
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Summary
This summary is machine-generated.

A new ring-based visual alarm system significantly improved clinician accuracy and response time in identifying critical events compared to traditional graph-based displays. Virtual reality testing confirmed its effectiveness for evaluating medical interfaces.

Keywords:
Alarm fatigueCognitive loadIntensive Care UnitVirtual realityVisual alarm

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Area of Science:

  • Medical technology
  • Human-computer interaction
  • Clinical informatics

Background:

  • Intensive care unit (ICU) clinicians face sensory overload from over 900 daily alarms, leading to response delays and errors.
  • Object-based visual displays integrating vital signs show promise for faster, more accurate responses than standard ICU alarms.

Purpose of the Study:

  • To design and evaluate a novel ring-based visual alarm system integrating heart rate (HR), blood pressure (BP), and peripheral oxygen saturation (SpO2).
  • To assess the system's effectiveness using a virtual reality (VR) testing environment for controlled and replicable evaluations.

Main Methods:

  • A ring-based display was compared against a previously validated graph-based display in a VR environment using HTC VIVE Pro Eye headset.
  • Participant speed and accuracy in identifying simulated clinical events were measured, with head orientation software tracking display focus.

Main Results:

  • The ring-based display demonstrated 33% higher accuracy and a 1.00-second faster mean response time than the graph-based display when shown individually.
  • When both displays were presented, participants viewed the ring-based display 82.2% of the time, indicating preference and attention.

Conclusions:

  • The ring-based visual alarm system significantly enhances alarm identification accuracy and reduces response times compared to graph-based displays.
  • Virtual reality offers a robust platform for testing and evaluating medical interfaces.
  • Future research should incorporate eye-tracking and develop multi-sensory alarm systems.