Source Data Verification (SDV) is a crucial quality control process in clinical research. It involves comparing the data entered into case report forms (CRFs) or electronic data capture systems with the original source documents to ensure accuracy and completeness.
SDV is typically performed by clinical research associates (CRAs) during monitoring visits to study sites. This process helps to identify discrepancies, ensure data integrity, and maintain compliance with regulatory requirements and Good Clinical Practice (GCP) guidelines.
Source Data Verification (SDV) is essential in clinical research as it ensures the reliability and integrity of study data. By verifying that the information in the case report forms matches the original source documents, SDV helps to maintain the quality and credibility of clinical trial results.
SDV plays a critical role in regulatory compliance and patient safety. It enables researchers to detect and correct errors or inconsistencies in data collection, which could otherwise lead to inaccurate conclusions or potentially compromise patient well-being. Additionally, SDV contributes to the overall confidence in the study findings, supporting their eventual use in regulatory submissions and scientific publications.
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