Systematic Reviews
Copyright ©The Author(s) 2025. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Methodol. Sep 20, 2025; 15(3): 100459
Published online Sep 20, 2025. doi: 10.5662/wjm.v15.i3.100459
Visual avatar to increase situational awareness in anaesthesia: Systematic review of recent evidence
Alessio Tramontana, Massimiliano Rulli, Andrea Falegnami, Federico Bilotta
Alessio Tramontana, Massimiliano Rulli, Federico Bilotta, Department of Anesthesiology, Critical Care and Pain Medicine, Policlinico Umberto I, Sapienza University of Rome, Rome 00185, Lazio, Italy
Andrea Falegnami, Department of Mechanical and Aerospace, International University “Uninettuno”, Corso Vittorio Emanuele II, Rome 00186, Lazio, Italy
Author contributions: Tramontana A contributed to the visualization of the manuscript; Falegnami A validated the manuscript; Bilotta F contributed to the supervision, project management of the manuscript; Tramontana A and Bilotta F contributed to the conceptualization, writing, reviewing and editing, methodology of the manuscript; Tramontana A and Rulli M wrote the original manuscript and contributed to the formal analysis, research, and resources to the manuscript; Falegnami A and Bilotta F performed data organization; and all authors thoroughly reviewed and endorsed the final manuscript.
Conflict-of-interest statement: All the authors report no relevant conflicts of interest for this article.
PRISMA 2009 Checklist statement: The authors have read the PRISMA 2009 Checklist, and the manuscript was prepared and revised according to the PRISMA 2009 Checklist.
Open Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Federico Bilotta, MD, PhD, Professor, Department of Anesthesiology, Critical Care and Pain Medicine, Policlinico Umberto I, Sapienza University of Rome, Viale del Policlinico 37, Rome 00185, Lazio, Italy. bilotta@tiscali.it
Received: August 16, 2024
Revised: January 13, 2025
Accepted: January 23, 2025
Published online: September 20, 2025
Processing time: 201 Days and 13.8 Hours
Core Tip

Core Tip: This systematic review examines the use of visual patient avatar technology to enhance perception, integration, and interpretation of medical data. Grounded in psychological and neuroscientific principles, the technology transforms information into intuitive shapes, colors, and animations, providing a clear advantage over traditional numerical formats. By simplifying complex data, it reduces cognitive workload, improves diagnostic accuracy, and bolsters clinical confidence. This innovative approach underscores the potential of visual representations in medical practice, fostering more efficient and effective decision-making processes for healthcare professionals.