Gomase Virendra S
S.P. Mandali's Prin. L. N. Welingkar Institute of Management Development & Research, Mumbai, 400019, India.
Curr Drug Saf. 2025;20(4):423-449. doi: 10.2174/0115748863356840250112181406.
Pharmacovigilance is an important subject in medicine and healthcare, which aims to prevent side effects and other drug-related problems by identifying, evaluating, understanding, and avoiding them. Its main objectives are ensuring that a drug's benefits balance its hazards and improving patient safety. Within medicine and healthcare, pharmacovigilance is an essential subject that focuses on identifying, evaluating, comprehending, and preventing side effects or any other issues associated with drugs. Its main objective is to improve patient safety and ensure a drug's advantages exceed its drawbacks. Pharmacovigilance has evolved significantly as a result of technological advancements, enabling more efficient medication, safety monitoring, and management. The combination of machine learning (ML) with artificial intelligence (AI) for data analysis, adverse reaction prediction, and signal detection, electronic health records (EHRs), and mobile health (mHealth) applications have enhanced real-time data collecting and expedited the reporting of adverse drug reactions (ADRs). Pharmacovigilance plays an important role which focuses on detecting, assessing, comprehending, and averting adverse medication reactions. Making sure a drug's advantages outweigh its disadvantages is its main objective to improve patient safety. Pharmacovigilance, which balances patient safety, efficacy, and regulatory compliance in clinical trials, is necessary to promote the safe and effective use of drugs.
药物警戒是医学和医疗保健领域的一个重要课题，其目的是通过识别、评估、理解和避免副作用及其他与药物相关的问题。其主要目标是确保药物的益处大于风险，并提高患者安全性。在医学和医疗保健领域，药物警戒是一个重要课题，专注于识别、评估、理解和预防与药物相关的副作用或任何其他问题。其主要目标是提高患者安全性，并确保药物的优点超过缺点。由于技术进步，药物警戒有了显著发展，实现了更高效的药物治疗、安全监测和管理。将机器学习（ML）与人工智能（AI）相结合用于数据分析、不良反应预测和信号检测、电子健康记录（EHR）以及移动健康（mHealth）应用，增强了实时数据收集，并加快了药物不良反应（ADR）的报告。药物警戒发挥着重要作用，专注于检测、评估、理解和避免药物不良反应。确保药物的优点超过缺点是其提高患者安全性的主要目标。在临床试验中平衡患者安全性、疗效和法规遵从性的药物警戒，对于促进药物的安全有效使用是必要的。
