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Articles Published Processes
3/6/2025 10:23:26 AM | Browse: 37 | Download: 97
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Received |
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2024-08-22 08:21 |
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Peer-Review Started |
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2024-08-16 20:47 |
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To Make the First Decision |
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Return for Revision |
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2025-01-03 07:07 |
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Revised |
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2025-01-13 16:20 |
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Second Decision |
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2025-01-23 02:37 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Executive Editor-in-Chief |
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2025-01-23 08:58 |
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Articles in Press |
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2025-01-23 08:58 |
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Publication Fee Transferred |
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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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2025-02-12 04:29 |
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Publish the Manuscript Online |
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2025-03-06 10:23 |
ISSN |
2222-0682 (online) |
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: http://creativecommons.org/Licenses/by-nc/4.0/ |
Copyright |
© The Author(s) 2025. Published by Baishideng Publishing Group Inc. All rights reserved. |
Article Reprints |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
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Permissions |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
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Publisher |
Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA |
Website |
http://www.wjgnet.com |
Category |
Anesthesiology |
Manuscript Type |
Systematic Reviews |
Article Title |
Visual avatar to increase situational awareness in anaesthesia: Systematic review of recent evidence
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Manuscript Source |
Invited Manuscript |
All Author List |
Alessio Tramontana, Massimiliano Rulli, Andrea Falegnami and Federico Bilotta |
ORCID |
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Funding Agency and Grant Number |
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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 |
Key Words |
Situational; Situation; Awareness; Anesthesia; Visual patient avatar |
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. |
Publish Date |
2025-03-06 10:23 |
Citation |
<p>Tramontana A, Rulli M, Falegnami A, Bilotta F. Visual avatar to increase situational awareness in anaesthesia: Systematic review of recent evidence. <i>World J Methodol</i> 2025; 15(3): 100459</p> |
URL |
https://www.wjgnet.com/2222-0682/full/v15/i3/100459.htm |
DOI |
https://dx.doi.org/10.5662/wjm.v15.i3.100459 |
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