Odin Health joined the NZTE South Australia HealthTech Delegation in Adelaide on 16–17 September to connect with South Australia’s health, research, and innovation community. Alongside fellow New Zealand HealthTech companies, discussions highlighted opportunities in digital health, AI, and clinical innovation, as well as the importance of strong digital foundations as healthcare moves into the next era of intelligence.

While LLMs and AI Agents promise to rewrite the rules of clinical efficiency, a harsh reality is setting in—legacy middleware is trapping these advanced tools in expensive "intelligence silos." In this quick read, learn how traditional architectures fail the AI test, and how Odin Health is using the Model Context Protocol (MCP) to enable "zero-code" AI integration without a costly "rip-and-replace" cycle.

Odin Health recently joined New Zealand’s largest-ever official delegation at the Digital Health Festival (DHF26) in Melbourne. As Minister Matt Doocey championed a new era of national interoperability standards for the $3.9B sector, Odin took the stage to discuss driving practical digital solutions for front-line healthcare operations.

Bridging the gap between AI innovation and clinical adoption, Winning Health and Odin Health deliver an integrated AI joint solution for global healthcare.

For years, healthcare integration has been stuck in the “pre-made” era. Everything had to be defined upfront including logic, steps and interfaces. AI agents promise a shift of integration from the “pre-made” era to the “fresh-cooked” era and can unlock the hidden value inside existing systems. Read the article to explore how Odin Engine Intelligent Edition provides the foundation AI agents need to operate safely and intelligently across existing environments.

Hospitals don’t need to start from scratch to be AI-ready. There’s hidden value in the thousands of APIs, workflows, and rules built over the past decade. The problem? AI agents can’t make sense of these legacy systems. To them, they’re black boxes. That’s where a cluster-native integration engine with embedded Model Context Protocol (MCP) changes the game. It transforms legacy assets into AI-ready infrastructure and unlocks a fast, secure, and future-proof foundation for AI in healthcare.