Your AI-native content foundation starts here
For health systems, the path to being AI-ready often is blocked by unstructured, inaccessible patient data. At HIMSS26, Hyland’s experts showed how the Content Innovation Cloud turns fragmented content and images into governed, AI-ready intelligence.
The hidden barrier to AI: fragmentation
Content, processes, applications — and even people — are fragmented. This leads to disconnected content, broken workflows, siloed systems and strained employees. It can also derail AI initiatives.
What it means to be AI-ready
Healthcare organizations need federated access to content and imaging, life cycle governance, context-aware models and agents, and interoperability across clinical, financial and operational systems.
Why it matters now
AI agents without context aren’t safe. Context without governance is incomplete. And governance without interoperability is insufficient. You need all three before automation can be deployed at scale.
The next generation of unified content platforms
AI and automation can alleviate some of the challenges facing health systems, while driving efficiency and supporting future scalability. According to Signify Research, here are three examples of how organizations can leverage content and process intelligence:
API-driven access to AI agents, analytics and automation to optimize tasks
Orchestrating workflows with built-in governance across clinical and business operations
A mesh of interoperable agents that can enforce policy and compliance, and collaborate across processes
4 billion images
With Hyland solutions as the core, Metro North Health has transformed its approach to enterprise imaging. The Australian health system’s scalable, unified solution has paved the way for advanced AI integration.
$200,000
After selecting Hyland Intelligent MedRecords to automatically read, classify and extract data, and integrate the information within its Epic EHR workflow, Asante saved more than six figures in its first year.
68 days per year
Baptist Health’s cloud bundle, which includes two RPA bots, has freed staff from manually looking up patient data on a payer portal. That’s saved almost 70 days per year, and employees are focusing on more meaningful work.
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