Provider data has become one of healthcare’s most important operational assets, but for many health systems, it remains one of the least trusted. It sits across credentialing systems, EHRs, marketing platforms, CRMs, directories, referral tools, scheduling applications, data warehouses, and payer workflows. Each system may be accurate for its own purpose, yet together they often create conflicting versions of the same provider.
That fragmentation was the focus of a recent CHIME and Verato executive discussion at ViVE 2026, where leaders from health systems, HIEs, and healthcare organizations discussed why provider data management has become such a persistent challenge. The discussion surfaced a clear theme: provider identity now serves as a strategic foundation for access, experience, revenue, compliance, and network growth.
Why provider data breaks down so quickly
Provider data is complex because it represents people, organizations, locations, affiliations, credentials, specialties, insurance participation, and appointment availability. Each of those elements changes over time. Clinicians move, join new groups, update credentials, shift practice locations, change affiliations, and offer different services.
Dylan Sullivan, Senior Product Manager at Verato, described the challenge this way: “There are so many different data sources involved in building a provider record.” Those sources may include publicly available data, purchased datasets, credentialing systems, referral management tools, provider directories, enterprise data warehouses, and other internal systems. “Where the challenge really begins is stitching all of those sources together so that the health system doesn’t have to carry the operational burden of reconciling them,” he said.
For health systems that have grown through acquisition, the challenge becomes even more difficult. Dan Howard, CIO at San Ysidro Health, said, “When asked where provider data lives in our organization, I started counting in my head and I was already over ten systems before I stopped.” Every acquisition can introduce another provider database, another credentialing process, and another scheduling workflow that must be reconciled with the broader enterprise.
Inderpal Kohli, CTO at Healthix, captured the ongoing nature of the problem: “Providers move, affiliations change, credentials change.” Without process and automation, he explained, data quickly becomes inconsistent again after cleanup. His conclusion was direct: “Identity drift is not a database problem. It’s a workflow multiplier.”
Fragmented provider identity creates operational friction
Provider data issues rarely stay contained in one department. Credentialing feels the impact when information is incomplete or inconsistent. IT feels it when systems cannot stay synchronized. Access teams feel it when scheduling data is wrong. Marketing feels it when provider profiles are outdated. Revenue cycle feels it when claims are delayed or denied because identifiers, locations, or affiliations are inaccurate.
Terri Ripley, CIO at OrthoVirginia, explained why the problem is so hard to own: “Nobody sees the whole picture of the pain.” Each team experiences its own version, but the issue is distributed across many functions.
Rachini Moosavi, Chief Analytics Officer at UNC Health, tied that fragmentation to accountability: “When it’s everyone’s responsibility, it often becomes no one’s responsibility.” Without clear ownership, provider data quality becomes a recurring enterprise problem rather than a managed capability.
The result is operational friction that spreads across workflows. Referral lists lose trust. Directories become unreliable. Provider onboarding slows down. Analytics teams struggle to produce dependable insights. Staff spend time reconciling records instead of supporting higher-value work. Even after data is corrected in one place, inconsistencies can continue to appear elsewhere unless provider identity is governed and synchronized across systems.
Patient access depends on accurate provider identity
For patients, provider data quality shows up in practical and frustrating ways. If a provider’s location, specialty, insurance participation, or availability is wrong, patients may schedule with the wrong clinician, arrive at the wrong site of care, or encounter unexpected out-of-network costs.
Tressa Springmann, CIO at LifeBridge Health, described the issue plainly: “Patients show up at the wrong clinic location or schedule with the wrong provider because the information in the system wasn’t accurate.” She also noted that practice management staff cannot realistically keep every provider data element aligned manually.
Deb Muro, CIO at El Camino Health, connected provider data quality directly to consumer experience: “The provider directory, scheduling systems, and online access tools all depend on that information being accurate.” She added, “If the provider record is wrong — whether that’s the specialty, location, or availability — the patient experience breaks down immediately.”
This is why provider identity intelligence is becoming essential. It brings together the trusted identity foundation and the network-level context needed to understand providers, organizations, locations, and relationships across the enterprise. With that foundation, healthcare organizations can improve digital directories, strengthen scheduling accuracy, support better referrals, and connect patients to the right care faster.
Governance must support the technology
The roundtable participants were clear that technology is only part of the answer. Provider data also requires governance, ownership, and process discipline.
Saad Chaudhry, CIO at SSM Health, described the challenge as “a little bit of a chicken-and-egg problem,” because technology products cannot fully solve the issue if they are built on messy data. He added, “It’s about the decisions organizations make about how provider data should be managed, who owns it, and what the exception process looks like when the standard workflow breaks down.”
Stuart James, COO and Deputy CIO at CHRISTUS Health, made a similar point: “If we think that we’re going to fix the problem purely with technology while maintaining zero accountability and no process discipline, it’s just not going to work.” He emphasized that organizations need a long-term strategy because provider data must be continuously managed.
A durable provider identity strategy requires multiple pieces working together: a single trusted source of truth, automated enrichment, clear governance, defined accountability, and continuous synchronization across the systems that depend on provider data.
Moving toward provider identity intelligence
Provider identity intelligence helps organizations move from fragmented records to a trusted, enriched, and actionable view of their provider network. It starts by resolving duplicate and inconsistent provider identities across systems. It then enriches those identities with the data needed to support critical workflows, including specialties, licenses, locations, affiliations, referral relationships, service volumes, payer mix, and geographic coverage.
For access leaders, that means more accurate directories and scheduling. For operations teams, it means less manual reconciliation and faster onboarding. For revenue cycle leaders, it means fewer preventable errors tied to provider data. For strategy and growth teams, it means better visibility into referral patterns, network performance, and expansion opportunities.
Joe Hickey, VP of Provider Markets at Verato, connected the work back to healthcare’s larger mission: “Every data element is tied to a person — a provider, a patient, or a family member — and when those connections break down, it affects those critical moments of care.”
Provider data will continue to change. Health systems will continue to grow, affiliate, acquire, and expand. Patient expectations for digital access will continue to rise. Organizations that invest in provider identity intelligence can build the trusted foundation needed to reduce friction, improve experiences, and manage their networks with greater confidence.
