The trust gap: Why stale provider data is quietly undermining access, revenue, and your AI strategy

Every healthcare organization believes accurate provider data matters — 84% of providers and 78% of payers rate it “extremely” or “very” important to achieving their strategic priorities. Yet only 12% describe their current provider data as excellent, and for most organizations, inaccuracies surface at least weekly (55% of providers, 70% of payers).

The result isn’t a hypothetical IT hygiene problem. It’s claims denials, referral leakage, missed appointments, compliance exposure, and AI initiatives quietly underperforming because they’re built on a fragmented foundation.

Join Verato for a data-driven conversation grounded in a new market assessment of 101 health system and 50 payer leaders. We’ll unpack where provider data breaks down, why the consequences differ (but are equally costly) for providers and payers. Industry leading speakers will discuss why leaders are starting to describe provider data as a strategic infrastructure investment rather than a back-office task — particularly as AI becomes more deeply embedded in clinical and operational workflows. You’ll leave with a clear view of where your organization sits relative to peers, and what “good” provider data actually looks like in an AI-driven future.

Learning Objectives

During this session, subject-matter experts will:

• Benchmark where your organization sits against peers, using new research from 101 health system and 50 payer leaders that found only 12% describe their provider data as excellent, even though 84% of providers and 78% of payers call it critical to their strategic priorities.
• Identify how provider data failures surface differently for providers and payers, from claims denials and referral leakage to missed appointments and compliance exposure, and what each of those costs. 
• Describe what “good” provider data looks like in an AI-driven future, and why leaders are reframing it as strategic infrastructure rather than a back-office task.

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