There was a time when legacy applications in healthcare were viewed as an inconvenience. They were something to manage, but not something to worry about.
That time has passed.
Today, the accumulation of outdated systems and inaccessible data has become a systemic risk, one that extends far beyond IT departments. It is showing up in delayed care, incomplete clinical decisions, rising cybersecurity exposure, and increasing regulatory scrutiny.
What many organizations still treat as a technical challenge is, in reality, a clinical and operational one.
When Data Exists but Can’t Be Used
From a clinician’s perspective, access to complete and accurate patient information is not optional. The reality for many clinicians and the patients they serve is that it is foundational to safe care.
Yet in many health systems, critical pieces of a patient’s history remain locked in legacy applications. Retrieving that information often requires navigating multiple systems, each with its own interface, structure, and limitations. In time-sensitive situations, that friction matters.
When clinicians cannot easily access a complete medical history, the consequences are real: missed context, duplicated tests, delayed treatment, and increased risk of error.
This is not a hypothetical scenario. It is happening every day in organizations where data technically exists, but is not practically accessible.
The industry has spent years focused on data capture and retention. The next challenge is ensuring that data can actually be used when it matters most: At the point of care.
The Growing Complexity Beneath the Surface
Over the course of my career, I’ve watched healthcare IT environments grow exponentially more complex.
It is no longer unusual for organizations to manage dozens, or even hundreds, of applications across clinical, financial, and operational domains. Many are remnants of past EHR transitions, departmental systems, or mergers and acquisitions.
Each system represents not only a repository of data, but also a point of dependency and potential failure. In fact, the average organization may be running a multitude of systems simultaneously, with data footprints expanding rapidly over time.
This complexity creates fragmentation. Fragmentation creates blind spots. And blind spots, in healthcare, create risk.
Cybersecurity Is Amplifying the Stakes
If fragmented data environments create clinical risk, they also create an equally serious security risk.
Healthcare has become one of the most targeted industries for cyberattacks. Outdated applications, which often lack modern security protocols, are particularly vulnerable. These systems frequently house sensitive patient information, yet may not support current standards for authentication, monitoring, or threat detection.
The scale of the issue is difficult to ignore. In 2024 alone, hundreds of millions of patient records were compromised across the industry, with legacy systems playing a significant role in many breaches.
For healthcare leaders, the question is no longer whether legacy environments pose a risk. The question is how much risk they are willing to accept.
The Financial Argument Is Only Part of the Story
Much of the conversation around legacy systems focuses on cost and for good reason.
Maintaining outdated applications requires ongoing investment in infrastructure, licensing, and support. These costs compound over time, often consuming a significant portion of IT budgets.
But focusing only on financial impact understates the broader issue.
The true cost includes:
- Time clinicians spend searching for information instead of delivering care
- Delays in responding to audits, subpoenas, or compliance requests
- Increased exposure to breaches, fines, and reputational damage
- Lost opportunities to invest in innovation and patient experience
In many cases, organizations are spending heavily to maintain systems that no longer deliver meaningful value—while simultaneously absorbing the risks those systems introduce.
M&A Is Turning a Challenge into a Cycle
Mergers and acquisitions add another layer of urgency.
Each transaction brings together multiple application environments, often with overlapping systems and inconsistent data structures. Without a clear strategy, organizations inherit not only new capabilities, but also new complexity. Legacy data management becomes a recurring challenge rather than a one-time event.
As highlighted in recent industry analysis, healthcare M&A activity continues to drive the expansion of application portfolios, with each merger introducing additional systems, silos, and integration challenges. Without a sustainable approach, organizations risk carrying forward the same issues, only on a larger scale.
The Most Common Misstep: Treating It as a One-Time Project
One of the most consistent patterns I see is organizations approaching legacy data management as a project rather than a program. A new EHR is implemented. Systems are replaced. And only then does the question arise: what happens to everything left behind? By that point, the organization is already managing the consequences.
Legacy data management needs to be part of the strategy from the beginning – whether that is an EHR transition, a merger, or any major transformation initiative. Planning for how data will be retained, accessed, and governed over time is just as important as selecting the system that will replace it.
A Shift in Mindset: From Storage to Stewardship
At its core, this is a mindset shift.
For years, success was defined by how well organizations could store and retain data. Today, success must be defined by how effectively that data can be accessed, understood, and used. This requires moving beyond the idea that legacy data can simply sit in read-only systems indefinitely. It requires treating data as a living asset, one that must remain available, usable, and secure, regardless of the applications that created it.
A Path Forward
Addressing this challenge does not happen overnight. But it begins with a few fundamental questions:
- Do we have a complete understanding of where our legacy data resides?
- Have we rationalized why we have it and what we need to do with it?
- Can we access and produce that data quickly when needed?
- Are we confident in the security of the systems that house it?
- Are we managing this as an ongoing strategy, or reacting to it as issues arise?
These are not just IT questions. They are questions of patient safety, organizational resilience, and trust. Ultimately, how healthcare organizations manage their data reflects how they deliver care.
And in an environment where every decision matters, incomplete or inaccessible information is a risk no organization can afford to carry indefinitely.
About Kel Pults
Kel Pults is Chief Clinical Officer & VP, Government Strategy at MediQuant. With 26 years of nursing and patient care experience, Pults applies her deep healthcare and health informatics training and expertise to build effective health information solutions that support hospitals’ and health systems’ clinical data management needs.
