ELECTRONIC DATA CAPTURE (EDC) SYSTEMS: BEST PRACTICES AND KEY TRENDS

*Yetukuri Priya Nikhitha, Chundu Sri Lakshmi, Pemmereddy Ramadevi, Sadiya Fatima, Zeba Aimen Fatima and Kavitha Arja

ABSTRACT

Electronic Data Capture (EDC) systems have significantly changed how data from clinical trials is collected, managed, and analyzed. Traditionally, data collection relied on paper forms, which often led to errors and delays. EDC systems, on the other hand, allow researchers to enter data electronically, making the process faster and more accurate. This shift not only improves the quality of the data but also enhances the reliability of research findings, which is crucial for regulatory approval and public trust. This review will highlight several best practices for implementing EDC systems effectively. These include thorough planning, involving all stakeholders, ensuring user-friendly designs, and maintaining high data quality through automated checks and regular audits. Additionally, we will discuss key trends that are influencing the future of EDC systems, such as the integration with electronic health records (EHRs), the use of real-time data analytics, and the increasing importance of patient-centric approaches. These developments are paving the way for more efficient clinical trials that are better equipped to address the needs of patients and healthcare providers. Overall, EDC systems are not just a technological advancement; they represent a fundamental shift towards more effective and transparent clinical research practices. As the industry evolves, embracing these systems and best practices will be essential for successful trials and reliable outcomes.

Keywords: Electronic Data Capture, clinical trials, data management, best practices, patient-centric, real-time analytics, research integrity.