Due to the impressively continuous development of artificial intelligence (AI) across different fields, companies of various sectors have embraced the technology as it promises unprecedented benefits; one of the sectors is healthcare. AI is an exciting frontier in healthcare as it has the potential to revolutionize not only diagnostics or health record keeping but also create personalized medicine that will be capable of predicting future health trends. These innovations have the potential to transform patient care as well as organizational performances, but for their success, they depend on the foundational data architectures that are able to efficiently manage the overwhelming challenges of healthcare data. In this paper, it discuss structure, issues, and good practices concerning data platforms healthcare organizations need to prepare for AI integration. More focus is placed on the approaches to adapting to integration challenges, data protection, and compliance with existing law. Using these suggestions, organizations need to develop frames to enhance AI's use in augmenting patient care quality.