Predictive analytics influences all areas of healthcare and creates thrilling opportunities, ranging from timely interventions to more personalized, considerate, and interactive patient experiences. As a potent instrument for improving healthcare services, it provides insights that are crucial for fostering efficiency, precision, and better patient results. The prospective path of predictive analytics in healthcare is equally encouraging and demanding. Innovative technologies such as AI greatly enhance predictive analytics functions, and healthcare organizations need to adopt this technology to remain leaders in healthcare advancement. Achieving success in predictive analytics necessitates a solid foundation, and an advanced architecture (e.g. lake house) is the initial step in utilizing this technology effectively. The incorporation of these technologies into healthcare processes is essential for maximizing their benefits and enhancing patient outcomes and operational effectiveness. By combining thoughtful considerations with innovative ideas, advocates of technology and healthcare trailblazers can work together to create a more predictive and proactive healthcare system (Danda et al. in AI-driven healthcare transformation: machine learning, deep learning, and neural networks in insurance and wellness programs. JEC PUBLICATION, 2020; Bhatt et al. in Tech-driven wellness: navigating the confluence of technology and digital health. In: Proceedings of the 2024 2nd international conference on artificial intelligence and machine learning applications theme: healthcare and internet of things (AIMLA). IEEE, pp 1–6, 2024).