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医疗保健元宇宙中的临床试验——概念概述。

Clinical trials in health-care metaverse - A conceptual overview.

作者信息

Sait J Mohammed Sulaiman, Sarumathy S

机构信息

Department of Pharmacy Practice, SRM College of Pharmacy, Faculty of Medicine and Health Sciences, SRM Institute of Science and Technology, Kattankulathur, Tamil Nadu, India.

出版信息

Perspect Clin Res. 2025 Jan-Mar;16(1):9-13. doi: 10.4103/picr.picr_328_23. Epub 2024 Aug 2.

Abstract

Post-COVID-19, the emergence of newer technologies has taken center stage. One such technology is metaverse, which is an extension of existing technologies such as virtual reality (VR) and augmented reality (AR) that enables a fully immersive communication platform through the utilization of digital twins and avatars in a three-dimensional digital space. Literature review has shown that the adoption of such technologies in the field of clinical trials can help in improving the therapeutic outcomes in patients while having numerous other benefits. Despite its early stages of adoption, the application of metaverses in clinical trials through the use of AR, VR, and digital twins holds the ability to revolutionize key tasks in clinical trials, such as patient enrollment, engagement, monitoring, and counseling, by removing barriers to study participation. This review article focuses on the concepts of metaverse, its use in clinical trials, its inherent benefits, and limitations and serves as a starting point for clinical research organizations, pharmaceutical companies, and technology firms to conceptualize and develop metaverse solutions that stand to significantly benefit the broader landscape of clinical trials.

摘要

在新冠疫情之后,新技术的出现成为了焦点。其中一项技术就是元宇宙,它是虚拟现实(VR)和增强现实(AR)等现有技术的延伸,通过在三维数字空间中利用数字替身和虚拟化身,实现一个完全沉浸式的通信平台。文献综述表明,在临床试验领域采用此类技术有助于改善患者的治疗效果,同时还有许多其他益处。尽管元宇宙尚处于采用的早期阶段,但通过使用AR、VR和数字替身将其应用于临床试验,有能力通过消除参与研究的障碍,彻底改变临床试验中的关键任务,如患者招募、参与、监测和咨询。这篇综述文章聚焦于元宇宙的概念、其在临床试验中的应用、其固有的益处和局限性,并作为临床研究组织、制药公司和科技公司构思和开发元宇宙解决方案的起点,这些解决方案有望使更广泛的临床试验领域显著受益。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ffac/11759237/ca5a4fe48e27/PCR-16-9-g001.jpg

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