AI in healthcare, why choosing the best model is no longer enough

▤ Summary

This article explains why healthcare organizations can no longer choose AI tools based only on model quality. It outlines the shift from LLMs to RAG, AI agents, and agentic AI, and shows how each stage increases operational complexity in clinical and administrative workflows. It also argues for independent audits, continuous monitoring, and AI assurance to verify reliability, safety, transparency, and compliance over time. The article highlights how the EU AI Act and evolving procurement rules will push healthcare buyers to demand stronger documentation, governance, and lifecycle controls from vendors. It frames AI procurement as a strategic capability rather than a simple software purchase.

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