The paper explores the transformative impact of Generative Artificial Intelligence (AI) on the global healthcare sector. Traditional information systems, despite their efficiency in managing healthcare logistics, fail to meet the advanced analytical and predictive demands of modern medical care. Generative AI addresses these shortcomings by integrating diverse datasets, including textual, diagnostic imaging, and real-time biometric data, enhancing diagnostic accuracy and treatment personalization. It also enables rapid assimilation of new medical research and patient data, maintaining efficacy without retraining models. Furthermore, Generative AI streamlines administrative tasks and boosts operational efficiency, while its natural language processing aids in public health management by facilitating early epidemic detection and response. However, ethical concerns such as data privacy, algorithmic bias, and equitable service distribution necessitate stringent regulatory frameworks to ensure broad societal benefits.