Winning the Provider Network Game: Why Data Accuracy Is Non-Negotiable

Data Accuracy is Non-Negotiable

A candid analysis of where the provider data management industry stands today – and why your technology choices will determine your competitive advantage for the next decade

After spending the past year analyzing the healthcare technology landscape and engaging with industry leaders at conferences like AHIP and ViVE, one thing has become crystal clear. We’ve reached a pivotal moment in provider data management. The divide between organizations that embrace true innovation and those clinging to incremental improvements is widening rapidly. The health plans and health systems that will win in this ever changing regulatory and technology landscape will be those that embrace innovation over status quo.

As I’ve discussed in my recent Forbes analyses on provider directory mandate failures and AI transformation in healthcare, the industry can no longer afford half-measures. With the 2026 REAL Health Providers Act approaching and only 13.3% of provider directory updates currently meeting federal compliance requirements, healthcare leaders face a stark choice: revolutionary transformation or regulatory obsolescence.

The Market Reality: Two Fundamentally Different Approaches

Having watched the competitive landscape evolve throughout 2025, I’ve observed two distinct philosophies emerging in provider data management:

The Traditional Approach: Focus on modernizing legacy systems, addressing compliance requirements reactively, and offering broad healthcare operations platforms that treat provider data management as one component among many.

The Innovation-First Approach: Purpose-built Provider Network Intelligence (PNI) platforms that leverage AI, real-time automation, and predictive analytics to transform provider data from an administrative burden into a strategic competitive advantage.

The difference isn’t just philosophical, it’s measurable in outcomes.

The Data Accuracy Foundation: Why Workflow Without Clean Data Fails

Here’s a truth that many technology vendors don’t want to discuss. Sophisticated workflows and AI automation are worthless if they’re operating on inaccurate data. You can have the most elegant workflow management system in the world, but if it’s automating decisions based on outdated provider information, incorrect specialties, or invalid practicing locations and addresses, you’re simply scaling your errors faster.

This is the fundamental flaw in approaches that focus on workflow optimization without addressing the underlying data quality challenge. Organizations that prioritize workflow management over data accuracy end up with beautifully automated processes that consistently produce wrong results.

Other providers in the market focus on helping organizations “modernize legacy systems” and achieve basic regulatory compliance. We’ve taken a fundamentally different approach at Virsys12. Instead of applying digital band-aids to outdated processes, we’ve rebuilt provider data management from the ground up with Provider Network Intelligence at its core. Starting with data accuracy as the non-negotiable foundation.

Here’s what that means in practical terms:

Real-Time Intelligence vs. Periodic Updates

Traditional solutions offer “frequent updates to minimize inaccuracies.” Our V12 Provider Data Engine delivers continuous real-time monitoring through API integrations with primary data sources like CAQH, NPPES, Verisys and ProviderTrust. The difference? Instead of discovering provider changes weeks or months later, our clients know immediately when a provider moves, changes specialties, or appears on an exclusion list.

This data accuracy foundation is what enables our workflow automation to actually work. When your credentialing workflow receives real-time data about a provider’s license renewal, it can automatically update records and trigger appropriate notifications. When your network adequacy analysis operates on current provider locations and specialties, it produces actionable insights rather than misleading reports.

Intelligent Workflow Automation vs. Process Improvement

While others focus on “automated credentialing and contracting” to reduce administrative burden, we’ve eliminated the administrative burden entirely through what we call data-driven workflow intelligence. Our intelligent automation platform doesn’t just speed up manual processes. It replaces them with AI-driven workflows that learn, adapt, and improve over time.

But here’s the critical difference: our workflows are built on a foundation of continuously validated, real-time accurate data. This means:

  • Credentialing workflows operate on current license information, eliminating delays caused by outdated credentials
  • Contract management workflows automatically adjust terms based on accurate provider taxonomy and location data
  • Network development workflows identify and onboard providers based on real-time market intelligence rather than stale directory information
  • Compliance workflows proactively address issues before they become violations because they’re operating on current, accurate data

The competitive advantage isn’t just faster workflows, it consistently produces correct outcomes because they’re powered by accurate, real-time data.

Predictive Network Management vs. Reactive Monitoring

The traditional approach offers “advanced analytics and reporting capabilities” to provide insights into network performance. Our Provider Network Intelligence goes several steps further. Using predictive modeling to anticipate network challenges, identify market opportunities, and proactively optimize provider relationships before issues arise.

The Workflow Management Reality: Garbage In, Garbage Out Still Applies

One of the most critical misconceptions I encounter in healthcare technology discussions is the belief that sophisticated workflow management and AI can somehow compensate for poor data quality. This fundamentally misunderstands how these technologies work.

Workflow automation amplifies whatever data quality you feed it. If you’re automating credentialing workflows with 33% inaccurate provider directory data (the AMA’s reported findings), you’re not solving your efficiency problems—you’re scaling your accuracy problems. Your beautifully designed workflows will consistently:

  • Route applications to the wrong departments based on incorrect specialties
  • Generate contracts with outdated fee schedules and incorrect provider information
  • Send communications to invalid addresses and disconnected phone numbers
  • Create compliance violations by operating on stale licensure data
  • Produce network adequacy reports that mislead strategic decision-making

This is why workflow management without data accuracy is not just ineffective, it’s counterproductive.

At Virsys12, we’ve learned that you cannot separate workflow intelligence from data intelligence. They’re not sequential problems to solve; they’re integrated challenges that require integrated solutions. Our approach ensures that every automated workflow operates on a foundation of continuously validated, real-time accurate data.

When healthcare leaders ask me about the single most important factor in successful workflow automation, my answer is always the same. Data accuracy is the foundation that determines whether your workflows create competitive advantage or operational chaos.

The Critical Choice Ahead

The numbers paint a stark picture of the current state of provider data management:

  • $2.76 billion annually in provider directory maintenance costs industry-wide
  • 40% of provider directory inaccuracies persisting for 540+ days
  • Only 13.3% compliance with federal requirements
  • 40.3% of provider directory listings contain inaccuracies

These aren’t problems that can be solved with workflow improvements alone. They require a fundamental rethinking of how healthcare organizations approach the relationship between data accuracy and process automation.

The organizations that will thrive in the coming years are those that recognize this truth: you cannot build sustainable competitive advantage on a foundation of inaccurate data, no matter how sophisticated your workflows become.

Ready to learn more about transforming your provider data management? Contact Virsys12 to discover how V12 Enterprise is helping healthcare leaders nationwide eliminate inefficiencies while creating sustainable competitive advantages.

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About the Author

Tammy Hawes is CEO and Founder of Virsys12, a Healthcare Focused Salesforce AppExchange and Consulting Partner. Hawes launched Virsys12 in 2011, with a track record of more than 25 years of executive success.

Picture of About the Author

About the Author

Tammy Hawes is a Vice President at HealthStream (Nasdaq: HSTM), following HealthStream’s acquisition of Virsys12 in October 2025. She founded Virsys12 in 2011 and led the company’s growth as a leading innovator in Provider Lifecycle Network Management automation and AI. With more than 25 years of executive experience, Hawes continues to advance HealthStream’s mission of empowering healthcare organizations through technology, data, and workforce solutions.