This research paper presents an in-depth exploration of an AI-powered predictive model designed to prevent in-hospital adverse drug events (ADEs). The paper delves into the background of ADEs, the technological advancements leading to the development of predictive models, the methodology behind the AI algorithm, the validation process, and the potential impact on patient safety and healthcare outcomes. The study aims to contribute to the ongoing efforts to enhance patient care by leveraging artificial intelligence in the prevention of adverse drug events within hospital settings.