Artificial Intelligence & Machine Learning in Medication Safety and Pharmacovigilance

The International Journal of Clinical Pharmacy and Medicine (IJCPM) invites submissions exploring the application of Artificial Intelligence (AI) and Machine Learning (ML) in Medication Safety and Pharmacovigilance.

We welcome original research, reviews, methodological studies, quality improvement projects, and real-world evaluations examining how AI-driven tools can improve medication-use processes, identify adverse drug events, support signal detection, predict medication-related harm, and enhance clinical decision-making.

Topics of interest include automated pharmacovigilance, adverse event prediction, natural language processing, clinical decision support, medication error detection, electronic health record analytics, large-scale safety surveillance, and responsible implementation of AI in clinical practice.

Submissions addressing validation, transparency, bias, data quality, patient safety, governance, and ethical considerations are particularly encouraged.

IJCPM welcomes contributions from pharmacists, physicians, data scientists, pharmacovigilance specialists, researchers, and multidisciplinary healthcare teams worldwide.