Media Spotlight
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Why Healthcare AI Initiatives Fail – The Data Engineering Problem Few Talk About
In his fourth post, Jeffrey Eyestone shares that many healthcare AI projects fail due to poor data engineering and reliance on unstructured data. Learn why structured, real-time data is key to AI success.
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High-Value Use Cases – Moving Beyond the Limitations of Legacy Solutions
In his third post, Jeffrey Eyestone shows how Post-n-Track Gen 3 breaks through legacy system limits to power intelligent, secure, and scalable healthcare data sharing—unlocking real-world use cases across claims, payment integrity, analytics, and AI.
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Healthcare AI Needs Better Data Engineering: A New Paradigm for a Data-Driven Future
Jeffrey Eyestone shares that AI’s healthcare potential relies on solid data engineering—quality, access, and governance drive real innovation in his new article on The AI Journal.
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Why the Gen 3 Agent-Based System Beats Legacy Healthcare Solutions
In his second post, Jeffrey Eyestone shows how Post-n-Track Gen 3’s agent-based system outperforms legacy healthcare data solutions with speed, security, and real-time sharing.
