Operation Exploration and Practice of the Remote Monitoring Platform for Clinical Trials

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  • 1.National Institution for Drug Cinical Trial Nanfang Hospital Southern Medical University
    Guangdong Guangzhou 510515, China
    2.New Trials Medical Technology Hangzhou Co. Ltd. Zhejiang Hangzhou 310000, China

Received date: 2025-11-28

  Revised date: 2026-04-17

  Accepted date: 2026-06-28

  Online published: 2026-08-17

Abstract

 In recent years the implementation paradigm and regulatory model of clinical trials have undergone a major transformation from on-site to remote online. By leveraging digital and intelligent technologies clinical trial institutions can break through development bottlenecks which not only improves the efficiency of whole-process management in clinical trials to achieve quality improvement and efficiency enhancement but also lays a foundation for medical institutions to build differentiation control risks ensure quality and enhance core competitiveness. Decentralized clinical trials DCT), remote monitoring of clinical trials and other approaches have become new intelligent and normalized models for clinical trial operation and management. Such applications have reached a certain scale in China and relevant practical consensus has been continuously issued. To present the advantages of digital intelligence such as "data visualization risk controllability and quality verifiability" and to further provide empirical references and guidance for the implementation and optimization of digital intelligence supervision in remote monitoring of clinical trials in China this study takes the operational practice of the remote monitoring platform for clinical trials in the Southern Hospital of Southern Medical University as a case. Based on the review of the technical requirements and architecture for the construction of remote monitoring platforms this study explores the management path of remote monitoring analyzing the implementation benefits of remote monitoring including significantly reducing clinical trial operational costs effectively optimizing monitoring work hours allocation and time utilization improving monitoring work quality and achieving green and low-carbon benefits. This study puts forward relevant suggestions for the problems identified a complete data tracing chain can be formed by constructing a source data index map establish unified document naming and classification rules to ensure standardized management of document strengthen the management of the remote monitoring platform through permission control and trajectory monitoring to standardize operation management with the help of remote monitoring platform to collaborate the quality management of multi-campus public hospitals to practice a new model of high-quality and efficient clinical trial operation and management.


Cite this article

ZHENG Qingsi, XU Keqiang, LU Yichao, SU Aishan, XU Zhongyuan .

Operation Exploration and Practice of the Remote Monitoring Platform for Clinical Trials

[J]. CHINESE JOURNAL OF MEDICINAL GUIDE, 2026 , 28(6) : 745 -745-750 . DOI: 10.1009-0959.2026.080005

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