Introduction
According to HIMSS Market Insights, one in four healthcare leaders spend 25% of their work week searching for information. Asked what’s holding health systems back, 34% said managing unstructured content.
When the vast majority of unstructured patient data is inaccessible, health systems struggle to deliver trusted, contextual information across clinical and operational workflows.
An enterprise approach to content management
A content strategy centered around the electronic health record (EHR) may support critical clinical workflows, but health systems also manage documents, images and processes across finance, human resources (HR), legal, revenue cycle, medical imaging and departmental systems. Taking, maintaining and strengthening an enterprise approach helps connect and govern that information while supporting evolving needs across the organization.
The hidden costs of settling for partial enterprise content management (ECM) capabilities can be significant.
Data integrity and access: Re-entering data across systems wastes time and resources. It also increases the chance of errors, undermines data integrity, blocks AI and automation from delivering strategic impact, and causes metadata gaps and format mismatches.
High costs: Migration can be expensive, with service and dual-system overlap fees as high as $500,000 or more. Your health system might also face costs associated with audits, rework and hardware replacements.
Lengthy timelines: Data migration can take years and be dependent on bandwidth for IT teams that are already working at full capacity.
Workflow and continuity disruptions: Rebuilding compliance (HIPAA, audit, legal) workflows can bring risk to care and operations. Manual rework can also lead to lost functionality and scalability issues.
The reality: Migration — often framed as a clean switch — is messy, slow and expensive.
Epic customers rely on Hyland for …
Epic-enhanced workflows that we strengthen or automate
Clinical ancillary system integrations, ensuring Epic receives content from across the care continuum
Documents under management, with 30 million new documents added annually
An AI-ready foundation that extends beyond the EHR
Health systems need an ECM platform with governance-first, cross-departmental capabilities. Hyland’s proven, industry-leading solutions integrate with Epic to provide a single, governed content foundation that extends beyond the EHR to the entire enterprise.
An enhanced Epic integration
With the largest Epic customer base of any EHR integration, Hyland isn’t a bolt-on. We’re the strategic, embedded layer within Epic environments.
A secure, governed content foundation
We support clinical, operational and administrative workflows with a governance backbone that helps you protect sensitive data, meet mandates and operate confidently.
A unified clinician experience
Hyland Clinician Window gives care teams a complete view of unstructured content in a patient’s medical record — including documents, DICOM and non-DICOM images — directly within the EHR or from a unified viewer.
Enterprise-wide impact
We enable true enterprise content management by deploying cross-department workflows (from health information management to accounts payable, HR, legal and revenue cycle) to support your automation, retention and compliance needs.
How leading health systems make an impact across the organization
At the University of Maryland Medical System, many administrative areas still relied on manual document intake and department-specific processes. Indexing practices were inconsistent across facilities, making it difficult to standardize document management and retrieval.
The health system implemented Hyland IDP™, built on Hyland Content Innovation Cloud™, and integrated it with Hyland OnBase™ to provide a scalable foundation for document capture, classification and indexing. The results: less manual effort and rework, and improved consistency and data quality across the enterprise.
> Read the case study: UMMS streamlines enterprise document intake
Shriner’s utilizes OnBase as a real-time integration layer
As Epic adoption expanded at Shriners Children’s, the health system needed to provide its 2,300-plus clinicians with real-time visibility to documentation across Cerner and Epic. Results finalized in Cerner also had to appear in Epic before Epic encounter and order numbers existed. This created a gap that could produce missing results, mismatched records and manual rebuilds in both systems.
Shriners Children’s deployed OnBase to match Cerner results to Epic encounters once the latter generated the required identifiers. OnBase then populates the encounter and order values, and delivers the enriched documents into Epic using HL7 messaging. Almost 12,000 documents were processed and more than 30,000 HL7 messages were orchestrated to help the health system ensure results and converted notes were attached to the correct Epic charts without delay.
> Read the case study: Shriner’s Children’s bridges two EMRs without disrupting clinical care
From the user perspective, nobody had to change how they worked. OnBase in Epic worked exactly the same — but from the IT side, the operational burden dropped significantly.
The power of enterprise context
“CommunityLIVE 2026 confirmed that the healthcare AI conversation is shifting from individual applications to the enterprise capabilities needed to operationalize AI at scale,” IDC reported in a recent Market Perspective. “Enterprise context is emerging as a strategic architectural capability, not merely an information management function. As provider organizations deploy AI across clinical, administrative and imaging workflows, the ability to integrate structured and unstructured information into trusted, contextual knowledge will become a differentiator.”
The shift is happening as Hyland launches a bold new wave of platform innovations that allow existing content to be leveraged by AI at an enterprise level, without compromising governance and compliance frameworks. According to IDC, Hyland Enterprise Context Engine™ provides “a meaningful architectural distinction in regulated healthcare environments where audit trails, access controls and compliance requirements around clinical content are nonnegotiable.”
The Enterprise Context Engine unifies healthcare content, processes, applications and people. Doing so provides a real-time view that reflects how your health system operates and means that every decision, automation and insight draws from the full spectrum of enterprise knowledge.
“Winning in healthcare AI is no longer primarily about the models. It is about the information architecture, governance and workflow integration that make these models reliably useful across a complex enterprise,” IDC said. “This is a different competition, and not every vendor is equally prepared for it.”
As health systems prepare for what's next, they need an enterprise content strategy that's built for more than the demands of today.
Research by HIMSS shows that 89% of healthcare organizations are using, planning or investigating AI and machine learning to improve interoperability. Yet only 18% say their content and infrastructure are prepared for AI automation.
With our help, you can transform unstructured content into actionable insights that drive better outcomes. Let’s build the future of healthcare together.

Case Study
OU Health delivers care without compromise, with Hyland and Epic
The University of Oklahoma’s academic health system unifies clinical and business information, giving clinicians fast access to critical data while building a foundation for future AI innovation.

Analyst
From Content To Intelligence: A Spotlight On Healthcare
This Forrester Consulting study examines how healthcare organizations are accelerating AI agent adoption to improve patient and provider experiences. Explore the key findings.

Case Study
WellSpan Health cuts downtime from hours to minutes
Integrated health system improves uptime, reduces infrastructure risks and scales enterprise content operations by migrating Hyland OnBase™ to the Hyland Cloud™, powered by AWS.

Article
How AI and automation can alleviate the workforce shortage in healthcare
With demand for professionals far outpacing the supply, health systems need to find innovative ways to utilize technology to automate tasks and free up staff.
