Volume 1, Issue 2

Medical quality control is very important to improve medical services, protect patients’ rights and interests, and improve medical efficiency. It is like a precise ruler to measure whether each medical procedure meets the standards. Through quality control, problems can be found and corrected in a timely manner, such as diagnostic accuracy, treatment appropriateness, medication rationality, etc., to ensure the safety, effectiveness, appropriateness and consistency of medical services. However, at present, medical quality control faces many difficulties: (1) data collection and processing are challenging, medical data are diverse, complex and scattered, and integration is difficult; (2) data analysis is difficult to use, and professional medical personnel need to interpret it in order to find problems and propose improvement plans; (3) quality control supervision is not in place, and the medical quality management system needs to be improved, and the investment is large; (4) It is difficult to make continuous improvement, which requires medical institutions to have the motivation and ability to continuously improve, and apply new quality control technologies that keep pace with the times. For example, the application of metaverse decentralized data sharing technology to medical quality control is a major innovation in the medical field, which can comprehensively improve the quality of medical services by establishing a sound quality control system, simplifying processes, strengthening supervision, and vigorously improving the quality of quality control personnel, strengthening information management and effect evaluation, and combining the real-time monitoring and feedback advantages of metaverse technology: (1) build a decentralized medical quality control platform to realize real-time collection, transmission and analysis of medical data, and ensure real-time monitoring and feedback of medical quality; (2) using decentralized technology to optimize medical processes, improve efficiency and reduce error rates; (3) implement telemedicine quality control, so that experts can remotely guide primary medical work; (4) in-depth mining and analysis of medical quality data, discovering patterns and providing basis for continuous improvement; (5) carry out medical quality education and training to improve the quality awareness and skills of medical staff; (6) carry out medical quality prediction and early warning, analyze data in real time, and grasp the quality trend. Although the Internet of Things and metaverse decentralization technology have brought new opportunities for medical quality control, there are still some challenges, such as immature technology, low user acceptance, data security and privacy protection, and cost.

Key Words: medical quality control; Internet of Things; metaverse; artificial intelligence; machine learning

The support layer technology and the feasibility and potential value of metaverse in medicine are elaborated in this paper. Through the integration of virtual reality, augmented reality, artificial intelligence and other technologies, metaverse technology has made medical services more intelligent and personalized, bringing unprecedented opportunities and challenges to the medical field. We should fully leverage the innovative advantages of metaverse technology, seize opportunities and actively respond to challenges, to achieve sustainable development and application in the medical field, promote the improvement of medical services and innovation in medical education, and bring more welfare and progress to human health and medical cause.

Key Words: metaverse in medicine; virtual diagnosis; telemedicine; health data analysis; medical education

Faced with the high incidence and mortality rates of lung cancer domestically, as well as issues such as over-treatment and delayed diagnosis during manual image interpretation, Professor Bai Chunxue led a team to establish clear screening criteria and target populations for lung cancer. They proposed using artificial intelligence (AI) to mitigate the shortcomings of manual image reading. However, AI also faces challenges such as data centralization and lack of sharing, which need to be further addressed. The emergence of the metaverse medicine provides a potential solution to these issues. In 2022, the International Alliance of Metaverse Medicine (IAMM) was formally established, with Professor Bai serving as the inaugural chairman of the Metaverse Medicine Founding Conference. Subsequently, he and his team published two seminal works, titled Future Come: Metaverse Medicine We Need and Metaverse Medicine, elaborating on the vision of metaverse medicine empowering lung cancer screening and management. They also founded the Clinical eHealth (CEH). We should further promote the application of PNapp5A, human-machine MDT, and metaverse empowerment to enhance the level of lung cancer screening and management, realizing the vision of “preventing disease by famous doctors, and wisdom of metaverse for all”.

Key Words: lung cancer; artificial intelligence; metaverse; screening and management

This review synthesizes the innovative hardware technologies and interactive experiences of metaverse medical platforms. With the rapid development of digital technology, metaverse medical platforms are gradually becoming a reality, integrating technologies such as virtual reality (VR), augmented reality (AR), and 3D modeling, bringing revolutionary changes to the medical industry. The article first explores the value of hardware entry construction, including immersive experiences and AR technology that improves the accuracy of surgical operations. It then analyzes the objectives and implementation methods of human-computer interaction, including gesture, eye tracking, voice, and brain-computer interface interactions. The paper also discusses the application of avatars in person-to-person interaction, as well as the importance of guidance, consistency, and accuracy to user experience. Finally, it provides a prospective analysis of the future trends of metaverse medical platforms and suggests methods and standards for implementation. This article aims to provide medical professionals and researchers with a comprehensive perspective on the development of metaverse medical platforms.

Key Words: metaverse medical platform; human-computer interaction; virtual reality； augmented reality; data visualization; personalized healthcare

Metaverse, through virtual reality, augmented reality, blockchain, and other technologies, offers immersive experiences in a virtual world. In the field of mental health care, metaverse technology enhances patients' cognitive functions and social capabilities, thereby facilitating early diagnosis and assessment of diseases. This paper provides an overview of the concept and steps involved in the application of metaverse medicine, as well as an analysis of the efficacy of metaverse technology in treating mental health disorders such as autism spectrum disorder (ASD), Alzheimer’s disease (AD), and anxiety.

Key Words: metaverse; mental health

Apple Vision Pro harnesses the power of virtual reality and augmented reality to bring about revolutionary transformations and contributions in medical education, clinical diagnosis and treatment, as well as medical management. It drives the advancement and application of metaverse medicine. However, the actual implementation of Apple Vision Pro also entails tackling technical and ethical challenges, including data privacy concerns, security issues, medical liabilities, and legal considerations. This article aims to explore the application of Apple Vision Pro in the metaverse medical scenario, with the hope of promoting the adoption of Apple Vision Pro in the medical field, thereby fostering advancements in medical education, clinical practice, and medical management.

Key Words: Apple Vision Pro; virtual reality; augmented reality; healthcare

Employing virtual reality and augmented reality technologies in medical education can provide immersive learning experiences, interactive collaboration, personalized and adaptive learning, seamless integration of the real and virtual worlds, as well as medical humanities, not only revolutionizing the content and methods of traditional medical education but also offering medical students an even more realistic and enriching learning experience. The prospects for the development of medical education in the metaverse are immense, not only enhancing the quality of medical education but also driving innovation and transformation across the entire educational system.

Key Words: metaverse; medicine; education

As an innovative teaching model, the Metaverse Teaching Rounds have realized the organic integration of advanced technologies such as virtual reality (VR), augmented reality (AR) and Medical Generative Pre-trained Transformer (MGPT), and built a highly immersive learning environment for students. This teaching mode can not only increase students’ interest in learning, but also help them better understand and master medical knowledge. The research progress of the metaverse empowering medical teaching rounds mainly includes the following fields: (1) The application of VR in teaching rounds. VR technology can improve students’ hands-on skills by providing them with a simulated medical environment and allowing them to practice in a virtual environment. (2) The application of AR in teaching ward rounds. AR technology can integrate virtual medical knowledge into the real medical environment, allowing students to learn virtual medical knowledge in the real medical environment, thereby improving their learning effect. (3) The application of MGPT in teaching ward rounds. MGPT is a natural language processing model based on deep learning technology, which can also be used for medical teaching rounds. At present, the world’s first digital human MGPT — BAIMGPT has been successfully developed and can be extended to teaching ward rounds. (4) By formulating scientific evaluation standards to evaluate the performance and harvest of teachers and students in the metaverse teaching rounds, improvements and optimizations can be made to improve and optimize the problems existing in the teaching process to improve the quality of teaching. In the future, the integration of VR, AR, and MGPT with advanced technologies such as mixed reality (MR) can build a more highly immersive learning environment for students, accelerate the integration of declarative knowledge and procedural knowledge, strengthen students’ theoretical foundation, improve their clinical thinking and practical ability, so as to better solve problems for patients.

Key Words: teaching rounds; virtual reality; augmented reality; mixed reality; artificial intelligence

With the continuous development of metaverse technology, its application in the traditional Chinese medicine (TCM) will be more and more extensive. In order to ensure the correct application of metaverse technology and guarantee the safety and interests of patients, it is necessary to formulate corresponding consensus and guidelines to regulate the use of metaverse technology. In this paper, the methods of making consensus and guideline of metaverse technology in TCM diagnosis and treatment are summarized.

Key Words: consensus and guideline; metaverse technology; traditional Chinese medicine

The continuous development of digital technology has deepened the integration of metaverse applications with various medical activities such as medical research, diagnostic governance, and health management. Metaverse in medicine is constantly improving the efficiency of medical activities, improving user experience, and allocating resources more effectively. At the same time, it has also raised new challenges for legal norms and compliance supervision. This article briefly reviews the legal norms and compliance regulatory logic of medical activities under traditional conditions. It also discusses new models of diagnosis and treatment such as remote diagnosis and digital diagnosis, as well as new models of medical robots and digital doctors, and other medical activities in the metaverse. It attempts to initially summarize the relevant norms and regulatory patterns of metaverse in medicine, and proposes thoughts on innovating and improving the legal norms and compliance supervision of metaverse in medicine.

Key Words: metaverse; metaverse in medicine; legal norms; compliance supervision

With the development and popularization of digital technologies, the healthcare sector is undergoing unprecedented changes. Digitization and globalization have not only changed our view of healthcare services and health management, but also put forward new propositions for health economics. In the era of metaverse, health economics must better understand and guide the allocation of healthcare resources, the formulation of health policies, and the provision of healthcare services. This paper aims to explore health economics in the era of the metaverse, including the core research areas of traditional health economics, research directions in the era of the metaverse, possible assessment methodology of health economics, and strategies to address the challenges, to provide decision support for better adaptation to the needs of the metauniverse era and the high-quality development of the healthcare industry in the era of the metaverse.

Key Words: metaverse; metaverse in medicine; health economics