What Progress Actually Looks Like

The organizations moving forward have a few things in common.

The survey results in this report point to a clear throughline. Fragmented provider eligibility data and fragmented workflow tools are two sides of the same problem. Organizations that treat them separately make slow progress. Organizations that address both together move faster.

So, what separates the organizations making meaningful progress from those still planning to? A few patterns stand out based on what ProviderTrust has seen work with health systems and payers across the country.

Centralized data oversight

Seven out of ten organizations in our survey (70%) already manage provider eligibility data quality through centralized oversight across all departments. That's a meaningful foundation. Centralized oversight means fewer gaps, clearer accountability, and faster response when data quality issues arise. Organizations that haven't reached this baseline yet often find that data governance conversations can create tension and raise questions of ownership.

Automated, continuous monitoring

The executives who express the highest confidence in their data quality share a common trait: they aren't waiting for problems to surface. They have systems that flag issues before they become compliance risks or billing errors. Periodic audits catch what's already gone wrong; continuous monitoring prevents problems from happening in the first place.

“Keeping provider eligibility data high quality is a team effort supported by constant monitoring, process improvements, and clinical collaboration.”

—Survey respondent

Workflow integration from the start

The most successful consolidation efforts don't force departments to adapt to a new system. They meet departments where they already work by finding a data solution that integrates into existing workflows rather than replacing them. That's one reason why implementation support tops the vendor consolidation priorities in this survey. Organizations have learned, often the hard way, that a great data product that's hard to implement or forces unnecessary change is a data product that doesn't get used.

A single verified data source

This is the hardest piece in the minds of survey respondents, with 46% of executives identifying the inability to find a single source of data that serves multiple needs as a top barrier to implementing an interconnected data exchange. They cite this issue as a technology problem and a data quality problem. The organizations making the most progress have found a primary source verification partner they can trust and have built their workflows around that verified data layer.

The path forward isn't a single leap. It's a series of deliberate moves: centralize oversight, automate monitoring, integrate workflows, and anchor everything to verified primary source data. The appetite for this shift is clearly there. The survey shows near-universal momentum. The organizations that will lead are the ones that stop treating each piece as a separate project.