Best Practices in Clinical Data Management

Authors

  • Donald Paul Department of Computer Engineering, University of Harvard Author

Keywords:

Clinical data management, data quality, regulatory compliance, artificial intelligence, data privacy, cloud computing

Abstract

Effective clinical data management is crucial for ensuring the integrity, reliability, and regulatory compliance of clinical trials. This paper explores best practices in CDM, focusing on strategies to optimize data collection, quality control, privacy, and technology integration within the highly regulated clinical research environment. We examine key aspects of data management, including data validation, standardization, and security, highlighting the importance of robust processes and technologies. Furthermore, we discuss emerging trends such as artificial intelligence, blockchain, and cloud computing, emphasizing their potential to transform CDM and enhance the efficiency and quality of clinical trials.

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Published

2024-10-08

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