Softwares In Pharmacovigilance and Clinical Trials Review

The increasing complexity of clinical trials and post-marketing surveillance has made software systems indispensable tools in modern drug development. These digital platforms support regulatory-compliant data collection, management, and reporting while significantly reducing administrative workload for investigators, coordinators, and administrators. Clinical Trial Management Systems (CTMS), Electronic Data Capture (EDC) tools, and Clinical Data Management Systems (CDMS) streamline protocol setup, patient recruitment, visit tracking, data validation, financial management, and study documentation. In parallel, pharmacovigilance software such as Argus, ArisGlobal, PvNet, and VigiFlow enables efficient processing of adverse drug reactions, automated case assessment, global safety reporting, and early signal detection. The historical shift from paper-based processes to cloud-based and AI-supported systems has enhanced data accuracy, traceability, and integrity. International guidelines, including ICH-GCP, EMA-GVP, and 21 CFR Part 11, further ensure that these digital systems maintain high scientific and ethical standards. Collectively, software solutions strengthen operational efficiency, improve communication across research teams, support regulatory compliance, and ensure timely identification of safety concerns. This review highlights the evolution, regulatory framework, and key applications of software used in clinical trials and pharmacovigilance, emphasizing their central role in producing reliable and high-quality clinical evidence.