From Siloed Data to AI Ready Insights: How HL7 FHIR Enables Health Authority Ready Interoperability

Details

This session focuses on preparing data for the demands of Artificial Intelligence (AI) and regulatory compliance by utilizing interoperable architectures built upon HL7 FHIR. The discussion aims to guide participants in making their proprietary data sources reusable, trustworthy, and compliant with anticipated regulatory standards. It is designed as an intermediate-level learning experience, covering key objectives such as demonstrating how the life sciences industry uses modern technology and HL7 FHIR to break down existing data silos. Furthermore, it addresses the practical steps required for improving data quality, structure, and overall trust, ensuring that interoperable data can be classified as both 'AI ready' and 'Health Authority ready.' The speakers include professionals from major life science companies such as Epista Life Science (Joan Cheung), Bristol Myers Squibb (Adam Clarke), Johnson & Johnson Innovative Medicine (Adam Paida), and Boco Bio (Allison Kemner). This participation underscores a broad industry effort toward establishing standardized, reliable data practices.