As health systems continue expanding through acquisitions and partnerships, many find themselves racing to bring new practices onto shared EHR platforms. The motivation is clear: unify care, streamline operations, and unlock value across the enterprise. But beneath that strategic vision lies a messy operational reality – one that too often gets overlooked until it’s too late.
At the center of this challenge is legacy data.
For every practice or partner brought into the fold, there’s a trail of applications, contracts, and patient data that needs to be rationalized and retained. Done right, this process supports compliance, reduces risk, and keeps the onboarding timeline on track. Done haphazardly, it leads to costly delays, redundant systems, and compliance vulnerabilities that can unravel even the best-laid integration plans.
Many health systems underestimate the complexity of legacy data management during onboarding. And that misstep can cost more than just money. It can erode trust, stall growth, and expose organizations to serious regulatory risk.
The overlooked first step: contract review
When a new practice is acquired, attention typically goes straight to clinical integration. But before a single data extract is ordered or archive strategy is discussed, the first priority should be reviewing contracts tied to legacy applications. Too often, organizations skip this step and unknowingly target systems that can’t be sunset for years due to termination clauses or data release restrictions.
Worse, some vendors use this confusion to their advantage. Ordering the wrong type of data extract, or missing critical deadlines, can trigger auto-renewals that lock systems in place far longer than planned.
Application inventory management is a smart investment
To prevent these costly missteps, leading organizations are investing in application inventory management tools. These platforms track everything from contract terms to data ownership to rationalization decisions. Having this centralized visibility not only supports strategic planning, it also saves time and resources during transitions by preventing unnecessary projects or duplicate efforts.
Even avoiding a single contract renewal that didn’t need to happen can pay for the system.
A missed opportunity for compliance and cost control
Surprisingly, many health systems still lack comprehensive data retention policies. And even when they exist, enforcement is often inconsistent across departments or application types. This results in over-retention of unnecessary data, under-retention of key records, and a lot of gray area when it comes time to archive.
Done well, data retention policies guide smarter, more cost-effective archiving decisions. Not every legacy system needs a full clinical archive. In some cases, a small subset of documents or a limited dataset is all that’s required to meet regulatory requirements. But you can’t make that call without a clear policy in place.
A mature retention strategy also supports compliance with evolving regulations, including the Cures Act. With growing pressure to provide patients with access to all their health data, no matter where it originated, organizations must define and enforce retention standards that align with both internal policy and external expectations.
It’s about the patient, too
While compliance and cost control might be top priorities, the patient experience must also be considered. More patients expect access to historical records than ever before. In some cases, health systems are choosing to retain certain data beyond required timeframes simply because it helps patients tell a more complete health story.
That may feel counterintuitive after talking about cost control, but the balance is possible. It starts with defining what’s most important to the organization and choosing a data management strategy that supports those goals.
Standardization: The path to scale
As health systems grow, they need onboarding processes that don’t reinvent the wheel every time. That means building a repeatable playbook for how to handle legacy data from contract review to archive execution. The more standardized the approach, the faster and more affordable the onboarding.
This is especially critical for systems leveraging Community Connect, where consistency across sites matters for both operations and compliance. Standard workflows, clear decision points, and trusted data partners can dramatically reduce the lift required from internal teams.
Choose experience
Finally, while onboarding might seem like a job for internal teams, legacy data management is not the place to experiment. The stakes are too high. Organizations should work with partners who understand the nuances of clinical, financial, and operational data and who have done it before, at scale.
It’s not just about flipping the switch on a new EHR. It’s about protecting your organization from hidden costs, regulatory exposure, and the operational drag that comes from ignoring the data left behind.
Growth is good. But scalable, compliant growth requires a plan. And that plan needs to start with legacy data.
About Dave Lamar
Dave Lamar is Chief Growth Officer of MediQuant, a leading provider of enterprise data archive technology for the healthcare industry. Since joining the company in 2017, Dave has redefined projects and services for increased revenue, helped to integrate and reframe the services provided by new acquisitions for a comprehensive offering, and guided the opportunity for the firm to win the largest assignment in MediQuant history with the Department of Defense
