How Leading Health Systems Scale Community Connect Onboarding 

The Complexity Beneath the Surface  

Most organizations fully intend to retire legacy systems once they’ve transitioned to Epic. The expectation is that these systems will remain available for a short period—long enough to support access to historical data—before being decommissioned.  

In practice, that timeline tends to stretch.  

Months become years. Systems that were meant to be transitional become embedded in daily operations, quietly persisting alongside the new environment.  

Not because organizations lack discipline—but because the path to retirement was never clearly defined.  

From One-Time Project to Repeatable Model     

Leading health systems recognize that Community Connect is not a single implementation, but an ongoing operational capability.  

They move beyond a project-based mindset and establish a repeatable model—one that standardizes how key elements, including legacy data, are handled across the network.  

This doesn’t eliminate complexity. But it contains it.  

The Role of Data in Scaling Successfully  

Data is one of the most persistent sources of variability.  

Each affiliate arrives with its own set of legacy systems and data formats. Without a consistent strategy, teams are forced to solve the same problem repeatedly—mapping, accessing, and managing historical information in different ways each time.  

By contrast, organizations that define a clear approach to legacy data early are able to streamline onboarding, reduce rework, and maintain consistency across implementations.  

In large-scale initiatives, this has enabled phased onboarding across dozens of facilities, with data managed in parallel to support smooth transitions and timely system retirement.   

Designing for Growth    

Organizations that successfully retire legacy systems early tend to approach the problem differently.  

They don’t view archiving as a technical afterthought, but as a core component of the transition strategy. They define, upfront, what “good” looks like:  

• Data remains accessible in a usable format  

• Clinical and operational needs are preserved  

• Systems can be decommissioned without introducing risk  

Modern approaches to data archiving support this model by making legacy data searchable, accessible, and usable—without requiring the original system to remain live.   

Community Connect is designed to simplify and standardize the future.  

Ensuring that legacy systems don’t complicate that future requires equal attention to what happens behind the scenes.  

When data strategy is addressed early, system retirement becomes a natural extension of the transition—not a lingering, unresolved task.