The following is a guest article by Cheryl Griffin, VP of Professional Services at Verato
Master data management (MDM) is often positioned as a technical initiative, but at its core, it solves a fundamental human problem: determining whether different records represent the same individual. In healthcare, the question carries real operational and clinical consequences. It determines whether a patient’s history is complete, whether care teams are aligned, and whether organizations can confidently act on their data.
When MDM works, identity becomes an invisible foundation – something every system and team can rely on without hesitation. When it doesn’t, the consequences ripple across the organization. Duplicate records, fragmented profiles, and mismatched data force registration, Health Information Management (HIM), and operations teams into manual reconciliation and record validation workflows. Time that should be spent delivering care or driving insights is instead spent questioning whether the data is even correct.
Despite MDM’s critical role, many implementations fall short. Not because the technology fails, but because governance, accountability, and decision-making are not consistently aligned to the intended outcome.
Where MDM Implementations Go Wrong
One of the most common pitfalls in MDM initiatives is the lack of a clearly defined, shared outcome. Business stakeholders may have a vision—improving patient matching, enabling better analytics, or supporting a system migration—but that vision often becomes diluted as work moves into execution.
Technical teams focus on building pipelines, configuring match rules, and integrating systems. Progress is measured through technical milestones rather than business impact. Over time, the “why” behind the work fades into the background.
Without that shared understanding, teams lose the ability to make effective trade-offs. Scope expands. Priorities shift. What began as a focused initiative becomes a sprawling effort that tries to solve everything at once—and ultimately delivers less.
This tendency to “boil the ocean” is one of the most consistent drivers of MDM failure.
What Successful MDM Implementations Do Differently
Successful MDM programs aren’t necessarily simpler—but they are more intentional.
They begin with a clearly defined outcome and keep it visible throughout the project’s lifecycle. This clarity aligns not just leadership, but also the architects, developers, and analysts responsible for execution.
When everyone understands what success looks like and why it matters, decision-making improves at every level. Teams can evaluate trade-offs in real time, prioritize effectively, and ensure that each step forward meaningfully contributes to the end goal.
In these environments, MDM stops being a technical project and becomes a business capability.
Start Small—but Start with Purpose
In large healthcare environments, duplicate record rates can reach greater than 8% to 12%, creating meaningful downstream cleanup, rework, and safety issues in registration, billing, and clinical workflows. Even targeted improvements within a single workflow can reduce manual reconciliation efforts and reduce patient safety risks significantly.
Organizations are often tempted to pursue enterprise-wide transformation from day one, especially given how broadly identity impacts systems and workflows. But the most effective implementations take the opposite approach.
They start small, with purpose and precision.
That means:
- Defining a Specific, Measurable Objective: For example, reducing duplicate patient records in a single workflow or preparing clean identity data for a system migration
- Anchoring the Work to a Real Business Driver: A CRM transition, regulatory requirement, or new digital initiative creates urgency and alignment
- Making Deliberate Choices About Scope: Not everything needs to be solved immediately; deferring non-critical capabilities allows teams to build momentum and demonstrate value early
Consider an organization preparing for a CRM migration. Their immediate need is not a fully mature, enterprise-wide MDM ecosystem, but rather to establish confidence in who their customers or patients are before data is moved into the new system.
By focusing first on identity resolution in that specific context, they can establish a trusted foundation. Additional capabilities—real-time integrations, expanded domains, advanced analytics—can be layered in over time without derailing progress.
Trust is the True Measure of Success
Technology can create identity records, but only trust makes those records usable.
Governance and stewardship are essential, including reviewing potential duplicates, resolving exceptions, and validating match outcomes against real-world scenarios. This is not simply a technical function—it is the mechanism through which organizations establish confidence in their data.
When trust is present, identity becomes actionable.
- Care teams can access complete, reliable patient views
- Operations teams can coordinate without duplication or delay
- Analytics teams can generate insights without second-guessing their inputs
Without trust, even the most sophisticated MDM platform will fail to deliver value. Teams will continue to validate, reconcile, and question—undermining the very purpose of the system.
The Path Forward
The lesson for organizations is straightforward, even if execution is not:
- Start with a clear, outcome-driven purpose
- Build trust in identity data through governance and stewardship
- Expand capabilities deliberately, not all at once
MDM success is not about solving everything immediately. It’s about solving the right problem first—and doing it well.
When identity is done right, it becomes a force multiplier. Systems align. Workflows streamline. Decisions improve. And organizations gain a true, reliable understanding of “who is who” across every interaction.
That clarity is what makes everything else possible.
About Cheryl Griffin
Cheryl Griffin is an experienced executive in the healthcare technology industry, with a proven track record of delivering high-quality professional services to healthcare clients using SaaS solutions. As the VP of Professional Services at Verato, Cheryl leads and manages a team that provides implementation, customization, training, and consulting services to customers, ensuring all engagements are successful and exceed expectations. She ensures that Verato’s solutions are designed and delivered with customer needs in mind. She also plays a key role in developing and implementing the company’s overall customer experience strategy.
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