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Serious Adverse Events (SAEs) represent critical data points in clinical trials and pharmacovigilance. Regulatory authorities such as the FDA, EMA, and MHRA require accurate and consistent coding of SAEs using the Medical Dictionary for Regulatory Activities (MedDRA). Proper coding ensures that safety signals are identified, analyzed, and reported in compliance with global regulatory expectations.
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The Medical Dictionary for Regulatory Activities (MedDRA) is a clinically validated, internationally recognized terminology used for the classification of adverse events (AEs) and medical information in clinical trials, post-marketing surveillance, and pharmacovigilance. Developed under the auspices of the International Council for Harmonisation (ICH), MedDRA provides a common language for reporting, analyzing, and sharing safety data across sponsors, regulatory agencies, and global stakeholders.
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Adverse event (AE) data collection is a cornerstone of clinical trial safety monitoring. Modern trials rely on electronic case report forms (eCRFs) for structured, accurate, and compliant recording of AE information. Proper design of AE modules within eCRFs ensures that safety data is captured consistently across study sites, facilitates expedited reporting, and supports regulatory submissions such as DSURs, PSURs, and IND safety reports.
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Adverse events (AEs) are among the most critical data points in clinical research. Regulatory authorities mandate that all AEs be recorded accurately, assessed for severity and causality, and stored in a format that allows systematic review. In the modern era, electronic case report forms (eCRFs) have replaced paper forms as the primary tool for AE documentation. Proper design of AE modules in eCRFs ensures that safety information is collected in a structured, consistent, and regulatory-compliant manner.
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Accurate adverse event (AE) documentation is at the core of clinical trial safety monitoring. The transition from paper case report forms to electronic case report forms (eCRFs) has transformed how AEs are recorded, validated, and reported to regulators. However, the reliability of safety data depends heavily on the fields included in the AE module. Missing or poorly defined fields lead to incomplete data, inconsistent reporting, and regulatory non-compliance. Authorities such as the FDA, EMA, and MHRA expect sponsors to demonstrate that AE data capture systems are robust, validated, and aligned with ICH E2A/E2B standards.
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Severity grading is a core element of adverse event (AE) documentation in clinical trials. Regulatory authorities such as the FDA, EMA, and MHRA require investigators to assess and document the intensity of each AE, usually using a standardized severity grading scale. This information determines reporting timelines, impacts causality assessments, and provides critical input for safety analyses in DSURs, PSURs, and expedited safety reports.
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One of the most critical aspects of adverse event (AE) documentation is establishing a clear and traceable link between the AE, the investigational product (IP), and any procedures conducted as part of the study. Regulators across the globe—including the FDA, EMA, MHRA, and CDSCO—require sponsors to demonstrate causality assessments in every clinical trial. This ensures that AEs are not only documented but also evaluated in the context of the study drug and trial interventions.
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The accurate recording of time of onset and time of resolution of adverse events (AEs) is critical for safety data integrity in clinical trials. Regulators such as the FDA, EMA, and MHRA require sponsors to capture AE chronology in electronic case report forms (eCRFs) to determine relationships to study drugs, assess seriousness, and meet expedited reporting timelines. Recording only the event description without timing data risks obscuring safety patterns and undermining causality assessments.
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In clinical trials, documenting adverse events (AEs) involves more than simply recording the event itself. Regulators such as the FDA, EMA, and MHRA require investigators to document both the action taken in response to the event and the outcome experienced by the subject. These fields provide insight into the safety profile of the investigational product (IP), support causality assessments, and determine the severity of impact on patient well-being.
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In clinical trials, the accurate documentation and review of adverse events (AEs) is a cornerstone of patient safety and regulatory compliance. While investigators are responsible for recording AEs in electronic case report forms (eCRFs), data managers play a pivotal role in reviewing, cleaning, and reconciling this data to ensure its integrity. Regulatory authorities such as the FDA, EMA, and MHRA consistently emphasize the importance of clean, complete, and consistent AE data as part of safety monitoring and inspection readiness.
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