In recent years, artificial intelligence has emerged as a transformative force within healthcare, offering innovative solutions and enhancing patient outcomes while simultaneously posing complex ethical and regulatory challenges. This paper presents a comprehensive frame-work for the ethical impact assessment of AI technologies in healthcare, merging theoretical foundations with a novel ethical hacking mechanism to evaluate the ethical footprint of these systems. The framework integrates established principles of AI ethics, and it systematically examines policy and regulatory considerations crucial to fostering responsible AI practices in clinical and administrative settings. By analyzing current regulatory landscapes and best practices, the study identifies significant gaps where ethical oversight may be lacking, potentially compromising both patient safety and public trust. The paper offers strategic recommendations to reinforce governance structures and embed ethical considerations throughout the entire lifecycle of AI applications—from design and development through deployment and post-market surveillance. Through an interdisciplinary approach, this research contributes to the advancement of ethical AI in healthcare, promoting transparency and accountability while aligning technological progress with societal values. Ultimately, the framework aims to guide policymakers, healthcare professionals, and technologists in creating robust, ethical, and sustainable AI solutions that safeguard individual rights and enhance the overall quality of healthcare delivery.