The poster presents the central challenge facing AI in medicine: the lack of accessible, interoperable health data infrastructure. While large amounts of clinical and biomedical data exist, they remain fragmented, difficult to access, and poorly integrated, limiting their practical use for research and innovation. To address this, the poster positions cloud-ready health data platforms as a foundational solution. These platforms go beyond data storage to incorporate technical, legal, and regulatory components, enabling secure, standardised, and FAIR data access and use. The approach is illustrated through concrete implementations, including the Biomedical Informatics Platform (BMIP), the KSB Data Platform, and GECO at EOC, which demonstrate how such infrastructures can support clinical data reuse, biobanking, and application development in real-world settings. Overall, the poster highlights that AI readiness in medicine depends on data platform maturity, and that these platforms act as a critical stepping stone towards scalable, reproducible, and impactful AI-driven research.
Meyer et al. (Tue,) studied this question.