The Siloed Provider Data Problem:
How Data Integrity Affects Healthcare
The Vibe at ViVE: ProviderTrust Chief Commercial Officer Mike Wirth Discusses Provider Data
The challenges of provider data loom large in the healthcare ecosystem. Data powers the entire provider lifecycle, and yet issues of data integrity persist from enrollment to directory. Besides leaving revenue on the table and creating frustration for providers and payers alike, the issue of disparate, unverified provider data heavily impacts members who simply need to seek care.
Though there isn’t a single easy answer to the provider data problem, a strong focus on data integrity can improve the data management process from the inside out. Here, we’ll explore the challenges that healthcare leaders face regarding provider data—plus, strategies for prioritizing data integrity to overcome these challenges.
The challenge of unearthing timely, verified data
Without a central source of truth for live, verified provider data, healthcare leaders are left to rely on disparate sources that may or may not contain the most up-to-date information. While leading data sources like NPPES or CAQH are incredibly impactful, they're naturally siloed and can contain self-reported data that isn't verified independently. Combine this disparate system with conflicting internal processes within organizations, and data integrity continues to be an uphill battle.
Fighting disconnects within the organization
Departments within organizations of all sizes operate in an extremely siloed way, causing process duplication and resource redundancy. This internal disconnect amplifies the issue of messy data from outside the organization, making it all too easy to focus on a team's siloed accountabilities and perpetuate the status quo instead of finding innovative ways to bridge these data gaps.
Closing the data loop, internally and externally
Ultimately, the ability to accurately identify their providers’ eligibility is only as strong as their data. At ProviderTrust, we see data integrity as a concept encompassing three pillars: data accessibility, completeness, and accuracy.
1. Data Accessibility
What are your primary sources, and how do you access them? Can the appropriate individuals within your organization securely access the right data? Is your data consistent across the organization?
2. Data Completeness
Are any data fields missing? Does your data contain shorthand, and if so, is it standardized?
3. Data Accuracy
Are you working with verified data? How recently has it been verified, and by whom?
A data strategy that addresses these elements individually ensures the highest level of data integrity while optimizing the speed to revenue and improving the payer-provider relationship. That includes implementing ongoing monitoring for provider eligibility on a monthly cadence to maintain data freshness, instead of relying on point-in-time verifications that go stale quickly. Provider organizations have historically faced stricter guidelines from the Joint Commission, and payers now have to conduct ongoing monitoring as part of the 2025 NCQA guideline updates. But traditionally, payers have avoided ongoing monitoring out of concern that increased visibility will uncover issues within their provider network. The problem is, these issues and the risk they represent already exist, whether or not the organization knows it.
It’s important to establish a unified data strategy to ensure organization-wide consistency. Find ways to build interoperability between departments, upholding the highest standards of data integrity at every stage of the provider lifecycle.
Property of ProviderTrust, Inc. | 2026 All Rights Reserved.