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Avatar-based versus conventional patient monitoring with distant vision: a computer-based simulation study
Petar Milovanovic1, Julia Braun2, Cynthia Alexandra Hunn3
1Institute of Anesthesiology, University and University Hospital Zurich, Raemistrasse 100, Zurich, 8091, Switzerland.
Journal of Clinical Monitoring and Computing
|November 15, 2024
Summary
Avatar-based patient monitoring significantly improves vital sign recognition for anesthesia providers compared to conventional methods. This visual approach enhances remote monitoring accuracy, especially at greater viewing distances.
Area of Science:
- Anesthesiology
- Human-Computer Interaction
- Medical Simulation
Background:
- Perioperative patient monitoring presents challenges, particularly with multiple patients or dynamic environments.
- Remote vital sign recognition is crucial for timely clinical decisions.
Purpose of the Study:
- To evaluate if avatar-based patient monitoring enhances remote vital sign recognition compared to conventional monitoring.
- To assess the impact of viewing distance on recognition accuracy with avatar-based systems.
Main Methods:
- Prospective, single-center, computer-based simulation study.
- Anesthesia providers (n=28) participated in 112 simulations.
- Compared Philips Visual Patient Avatar to conventional monitoring at 8m and 16m viewing distances.
Main Results:
- Avatar-based monitoring increased correct vital sign recognition by 74% at 8m (RR 1.74) and 51% at 16m (RR 1.51) compared to conventional monitoring.
- Superior performance for six vital signs was observed with the avatar at 8m.
- Recognition rates were significantly higher with the avatar system (p < 0.001 for both distances).
Conclusions:
- Avatar-based patient monitoring significantly improves the perception of vital signs using distant vision.
- This visual monitoring approach offers a promising alternative for enhancing patient safety in perioperative settings.
