Generative AI (Gen AI) is catalyzing a paradigm shift in healthcare, revolutionizing leadership, innovation, and patient-centered care. By leveraging advanced AI models—including Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and Transformer-based architectures such as GPT—healthcare organizations are unlocking unprecedented capabilities in diagnostics, clinical decision support, and operational efficiency. With the global Gen AI healthcare market poised for exponential growth, this paper examines its disruptive potential in automating workflows, enhancing medical imaging, accelerating drug discovery, and optimizing personalized treatment strategies. However, widespread adoption presents critical challenges, including regulatory compliance, ethical AI governance, and algorithmic bias. As healthcare leaders navigate this evolving landscape, strategic integration of Gen AI will be imperative in driving innovation, reducing costs, and delivering superior patient outcomes. This conceptual paper provides a forward-looking perspective on how Gen AI is reshaping healthcare leadership and setting new benchmarks for AI-driven transformation.