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所在平台: Udemy |
课程主页: https://www.udemy.com/course/data-management-in-clinical-trials/
课程评论：没有评论
课程名称：临床试验中的数据管理 课程概述：本课程分为10个模块，全面探讨了临床试验中的数据管理，涵盖了基础原则和该领域的前沿发展。参与者将深入了解数据在临床试验各个阶段的组织、结构和管理，确保数据在整个过程中保持其质量、完整性和安全性。课程内容包括数据收集方法、电子数据捕获（EDC）系统的使用，以及遵守CDISC（临床数据交换标准协作组织）等全球标准。此外，课程还涉及关键隐私法规，如GDPR和HIPAA，使参与者理解处理临床数据的法律和伦理方面。课程强调为提交给监管机构（如FDA和EMA）准备临床试验数据的流程，注重满足特定的技术和格式要求。除了核心内容，课程还考察了该领域的最新创新，如人工智能、区块链技术和真实世界数据（RWD）在临床试验中的应用。这些模块为参与者提供了前瞻性的视角，使他们具备在不断变化的临床数据管理领域中航行的工具和知识。
This 10-module course provides a thorough and comprehensive exploration of data management in clinical trials, covering both foundational principles and cutting-edge developments in the field. Participants will gain in-depth knowledge about how data is organized, structured, and managed across all phases of a clinical trial, ensuring that the data maintains its quality, integrity, and security throughout the entire process. The course delves into essential topics such as data collection methodologies, the utilization of electronic data capture (EDC) systems, and the adherence to global standards like CDISC (Clinical Data Interchange Standards Consortium). It also addresses critical privacy regulations, including GDPR and HIPAA, ensuring that participants understand the legal and ethical aspects of handling clinical data.Further, the course highlights the processes involved in preparing clinical trial data for submission to regulatory bodies, such as the FDA and EMA, focusing on the importance of meeting specific technical and formatting requirements. In addition to these core components, the course examines recent innovations in the field, such as the integration of artificial intelligence, blockchain technologies, and real-world data (RWD) in clinical trials. These modules provide participants with a forward-thinking perspective, equipping them with the tools and knowledge to navigate the evolving landscape of clinical data management.
