Unlocking AI’s Potential in Healthcare — A Semantic Foundation

AI is revolutionising healthcare — enhancing diagnostics, streamlining workflows and supporting medical professionals in unprecedented ways. But with great potential comes significant risk. At the heart of any AI-powered solution lies its foundation: data. And if that data isn’t properly managed, protected and understood, the results can be unreliable at best — and dangerous at worst.The old saying “bad data in, bad data out” has never been more relevant than in the era of AI, especially generative AI. This challenge becomes even more complex in healthcare, where AI must navigate highly sensitive, regulated and proprietary data.Some AI and RAG providers will even allow users to add security and governance controls to the data before and after the AI to help keep any Personally Identifiable Information (PII) or other protected data secure and only used or exposed to end users with the right level of access.