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Home Metaverse in Medicine Volume 1, 2024 Volume 1, Issue 4 Monographic report
Monographic report
Open Access
2024,1(4):17-20
https://doi.org/10.61189/317754bkfwnp

Exploration and practice of the resident training metaverse clinical thinking training model

WANG Yuan
WANG Yuan
Department of Respiratory and Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai 200032, China
,
WANG Lixin
WANG Lixin
Department of Vascular Surgery, Zhongshan Hospital, Fudan University, Shanghai 200032, China
,
BAI Haoming
BAI Haoming
Department of Education, Zhongshan Hospital, Fudan University, Shanghai 200032, China
,
YU Qing
YU Qing
Department of Education, Zhongshan Hospital, Fudan University, Shanghai 200032, China
,
GENG Wenye
GENG Wenye
Zhangjiang Institute of Science and Technology, Fudan University, Shanghai 200000, China
,
DAI Weihui
DAI Weihui
Shanghai Hash Information Technology Partnership Co., LTD., Shanghai 200000, China
,
BAI Chunxue
BAI Chunxue
Department of Respiratory and Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai 200032, China; Department of Respiratory and Critical Care Medicine, Xiamen Brunch, Zhongshan Hospital, Fudan University, Xiamen 361000, Fujian, China; Shanghai Respiratory Internet of Things Medical Engineering Technology Research Center, Shanghai 200032, China; Shanghai Institute of Respiratory Diseases, Shanghai 200032, China; China Lung Cancer Prevention and Treatment Alliance, Shanghai 200032, China
,
GAO Chengshi
GAO Chengshi
School of Management, Fudan University, Shanghai 200000, China
,
ZHANGYuming
ZHANGYuming
Big Data and Network Research Center for Healthcare, China Academy of Information and Communications Technology, Shanghai 200000, China
,
YANG Dawei
YANG Dawei
yang.dawei@zs-hospital.sh.cn
Department of Respiratory and Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai 200032, China; Department of Respiratory and Critical Care Medicine, Xiamen Brunch, Zhongshan Hospital, Fudan University, Xiamen 361000, Fujian, China; Shanghai Respiratory Internet of Things Medical Engineering Technology Research Center, Shanghai 200032, China; Shanghai Institute of Respiratory Diseases, Shanghai 200032, China; China Lung Cancer Prevention and Treatment Alliance, Shanghai 200032, China
Author information
Article notes
Funding

WANG Yuan, Master's candidate. E-mail: wangyuan011022@163.com

Corresponding author: YANG Dawei. Tel: +86-21-64041990, E-mail: yang.dawei@zs-hospital.sh.cn

Received December 12, 2024; Accepted December 29, 2024; Published 30 December, 2024
Supported by Project of Promoting Ability of Medical Science Popularization for Young Talents in Shanghai （JKKPYC-2023-A20）， Shanghai Municipal Key Courses （FDSHZD202409）， Fund of Shanghai Municipal Commission of Science and Technology （20DZ2254400）.
Previous Article Next Article
Monographic report
Open Access
Exploration and practice of the resident training metaverse clinical thinking training model
WANG Yuan
WANG Yuan
Department of Respiratory and Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai 200032, China
,
WANG Lixin
WANG Lixin
Department of Vascular Surgery, Zhongshan Hospital, Fudan University, Shanghai 200032, China
,
BAI Haoming
BAI Haoming
Department of Education, Zhongshan Hospital, Fudan University, Shanghai 200032, China
,
YU Qing
YU Qing
Department of Education, Zhongshan Hospital, Fudan University, Shanghai 200032, China
,
GENG Wenye
GENG Wenye
Zhangjiang Institute of Science and Technology, Fudan University, Shanghai 200000, China
,
DAI Weihui
DAI Weihui
Shanghai Hash Information Technology Partnership Co., LTD., Shanghai 200000, China
,
BAI Chunxue
BAI Chunxue
Department of Respiratory and Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai 200032, China; Department of Respiratory and Critical Care Medicine, Xiamen Brunch, Zhongshan Hospital, Fudan University, Xiamen 361000, Fujian, China; Shanghai Respiratory Internet of Things Medical Engineering Technology Research Center, Shanghai 200032, China; Shanghai Institute of Respiratory Diseases, Shanghai 200032, China; China Lung Cancer Prevention and Treatment Alliance, Shanghai 200032, China
,
GAO Chengshi
GAO Chengshi
School of Management, Fudan University, Shanghai 200000, China
,
ZHANGYuming
ZHANGYuming
Big Data and Network Research Center for Healthcare, China Academy of Information and Communications Technology, Shanghai 200000, China
,
YANG Dawei
YANG Dawei
yang.dawei@zs-hospital.sh.cn
Department of Respiratory and Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai 200032, China; Department of Respiratory and Critical Care Medicine, Xiamen Brunch, Zhongshan Hospital, Fudan University, Xiamen 361000, Fujian, China; Shanghai Respiratory Internet of Things Medical Engineering Technology Research Center, Shanghai 200032, China; Shanghai Institute of Respiratory Diseases, Shanghai 200032, China; China Lung Cancer Prevention and Treatment Alliance, Shanghai 200032, China
Author information

WANG Yuan, Master's candidate. E-mail: wangyuan011022@163.com

Corresponding author: YANG Dawei. Tel: +86-21-64041990, E-mail: yang.dawei@zs-hospital.sh.cn

Article notes
Received December 12, 2024; Accepted December 29, 2024; Published 30 December, 2024
Funding
Supported by Project of Promoting Ability of Medical Science Popularization for Young Talents in Shanghai （JKKPYC-2023-A20）， Shanghai Municipal Key Courses （FDSHZD202409）， Fund of Shanghai Municipal Commission of Science and Technology （20DZ2254400）.
2024,1(4):17-20
doi:https://doi.org/10.61189/317754bkfwnp
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Abstract

With the rapid development of information technology, the Metaverse, as an emerging concept of virtual worlds, is gradually showing immense potential in medical education and clinical training. Particularly in the clinical reasoning training of resident physicians, traditional training models face numerous challenges, such as limited clinical resources, complex cases, and restrictions on training time and venues. Metaverse technologies has opened new pathways for resident physician training. This study explores how to leverage metaverse-related technologies, such as virtual reality (VR), augmented reality (AR), and artificial intelligence (AI), to build an immersive and interactive clinical reasoning training platform. By simulating various complex clinical scenarios, resident physicians can engage in repeated training in a risk-free environment, enhancing their flexibility in clinical thinking and their ability to respond effectively. The metaverse platform offers real-time feedback and intelligent analysis to help esident physicians  quickly adjust learning strategies and optimize diagnostic and treatment thinking, and provides more practical opportunities for them.


Key Words: resident training; metaverse; cognitive training

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Metaverse in Medicine

ISSN: 3006-4236

Volume 1, Issue 4

December 2024

Pages: 1-64

PDF CITE Accesses: 8
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Abstract
Pulmonary nodule intelligent agent: from auxiliary diagnostic tools to a new paradigm of intelligent agent medicine - also discussing the formation of the discipline system of intelligent agent medicine Progress and prospects of AI intelligent agents empowering the diagnosis and treatment of pulmonary nodules Respiratory internet of things-driven precision monitoring and closed-loop management: asthma care from ward to home The potential and prospects of AI empowering grassroots doctors in case analysis and reporting Intelligent agent empowers correction of pathologically overlooked early lung cancer cases in nodule reporting Digital humans, virtual experts, and patient education and management: a new model for respiratory health communication Metaverse medicine and innovation in respiratory education: from the classroom to immersive clinical training Current applications and development strategies of metaverse innovation models in otolaryngology clinical practice and education Design concept for a neurology metaverse teaching system based on the Fudan Zhongshan "huisheng intelligent education" platform A conceptual framework for constructing an innovative teaching module for traditional chinese medicine inheritance in a collaborative "flagship" hospital integrating chinese and western medicine based on the "huisheng intelligent education" metaverse platform
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Metaverse in Medicine
ISSN: 3006-4236
ZENTIME PUBLISHING CORPORATION LIMITED
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