Predictive analytics has emerged as a transformative tool in healthcare, enabling data-driven decision-making to enhance patient outcomes and optimize resource allocation. This paper examines the pivotal role of predictive analytics in provider allocation, disease outbreak prediction, patient readmission reduction, and adverse event prevention. Through advanced data science techniques, healthcare organizations can proactively address challenges, improve care delivery, and streamline operations. The paper also discusses the benefits, challenges, and technologies driving predictive analytics in healthcare.