Revolutionizing Emergency Radiology with AI: A Scalable Model from the Valencia Health Region

In a pioneering move towards digital healthcare transformation, the Valencia Health Region has deployed a first-of-its-kind AI Orchestration Platform across 29 hospitals, delivering faster, smarter and safer emergency radiology workflows for over 5 million citizens. This whitepaper explains how Dr. Balmis, from Hospital General Universitario, led this innovation, proving that strategic AI integration can radically enhance triage accuracy, reduce diagnostic delays, and improve resource allocation, without adding IT complexity or disrupting clinical routines.

Built on vendor-neutral, scalable infrastructure by Idonia, the platform seamlessly integrates multiple AI algorithms into hospital systems, streamlining data flow, protecting patient privacy, and boosting clinician trust through embedded, real-time insights. As a result, over 580,000 studies were processed, AI diagnostics were delivered in under two minutes, and measurable improvements in clinical efficiency, financial ROI, and care outcomes followed.

This paper outlines a successful deployment and introduces a replicable blueprint for AI-powered healthcare transformation. Whether you're a healthcare executive, clinician, or digital health strategist, this case study offers critical insights into:

• Overcoming integration, data security, and adoption barriers
• Leveraging interoperability to meet HIMSS Maturity Model benchmarks (DIAM, EMRAM, AMAM)
• Designing sustainable, future-ready AI ecosystems in public health networks

Discover how AI orchestration can reshape diagnostics in your region or hospital, and learn the strategy, results, and next steps that are putting the Valencia Health Region at the forefront of AI in healthcare.