Clinical trials are an essential part of the drug development process. They help determine the safety and efficacy of new treatments and drugs. For clinical trials to be successful, effective data collection, management, and analysis are crucial. However, traditionally, clinical trials have relied on paper-based data capture methods. While paper case report forms (CRFs) were once the norm, they have significant drawbacks that can negatively impact clinical trials. This has led to the emergence of electronic data capture (EDC) systems and a shift away from paper processes. EDC has brought immense improvements to clinical trial processes, but the integration of artificial intelligence (AI) is poised to further enhance EDC capabilities. This guide will provide a complete overview of EDC in clinical trials , explain how AI integration is transforming EDC, and explore what the future holds for AI-enabled EDC software in clinical research. What is EDC in Clinical Trials? Electron...
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