EFFECTIVE DATA MANAGEMENT AND ANALYSIS IN CLINICAL TRIALS

*Mailaram Girisha, Nagurtha Divya, Gokani Pooja Goud and Akiti Sravya Reddy

ABSTRACT

Effective data management and analysis are essential for the success of clinical trials. Proper data management practices ensure the integrity, accuracy, and reliability of collected data, while robust data analysis enables researchers to derive meaningful insights and make evidence-based decisions. This article provides an overview of the key aspects of data management and analysis in clinical trials. It discusses data collection, electronic data capture systems, data cleaning and quality control, data security and confidentiality, data storage and retention, data sharing and interoperability, and regulatory considerations. Furthermore, it highlights the emerging trends and technologies that are shaping data management and analysis in clinical trials, including virtual and decentralized trials, wearable devices, artificial intelligence, real-world data, and patient engagement solutions. By implementing effective data management and analysis strategies, researchers can enhance the quality of clinical trial data, optimize trial processes, and contribute to improved patient outcomes.

Keywords: Clinical trials, data management, data analysis, data collection, electronic data capture, data cleaning, data quality control, data security, data storage, data sharing, data interoperability.