Jonathan Fullerton | Vice President, Strategic Growth, Axuall
Jonathan was employee number 50 at The Advisory Board Company, where he spent 16 years helping grow it from a healthcare research firm into a publicly traded, billion-dollar leader in research, business intelligence, consulting, and analytics, before launching a decade-long advisory practice for SaaS and healthcare innovators. Today he works with health system C-suites and founders to turn clinician data into the workforce intelligence layer behind patient access, referrals, and AI-enabled operations.

There’s a particular kind of madness only healthcare can pull off: an industry that runs on knowing exactly who its providers are, what they’re qualified to do, and where they’re doing it — and yet there’s no single source of truth on those same providers. There are accidental sources of truth  – systems that evolved to serve credentialing, or sourcing, or revenue cycle – each one authoritative in its own silo and inconsistent everywhere else.

I say this with love. I’ve spent 30 years in this space. I am part of the problem.

We all are.

Here’s what nobody writes in thought leadership pieces about provider data: the challenge isn’t technical. It’s gravitational. Every health system has accumulated so many workarounds, manual processes, and “that’s just how we do it” rituals that the sheer mass of institutional habit bends everything toward the status quo. You could hand a CMIO a perfectly clean, verified, real-time provider record tomorrow morning and by Thursday it would be copy-pasted into a spreadsheet, emailed to someone in operations, and manually re-keyed into a system that was supposed to be decommissioned in 2021.

And whoever is doing that re-keying? They’re not the problem. The question is why we’ve built systems that need human duct tape in the first place, instead of freeing those people to do work that actually moves patients through the door.

Here’s the twist that is taking us too long to see: the provider data set is the most under-leveraged asset in healthcare.

We have spent billions on patient data infrastructure. EHRs, HIEs, interoperability mandates, FHIR standards — an entire ecosystem designed to make sure patient information flows where it needs to go. Meanwhile, the data about the people delivering the care lives in silos that are simply untenable in an AI-driven world.

Think about what a truly comprehensive, continuously verified provider record could unlock. Not just faster credentialing (though yes, absolutely that — cutting weeks off onboarding is worth real money and real market share). But imagine knowing, in real-time, the actual clinical activity profile of every provider in your network. Where they’re practicing. What procedures they’re performing. How their patient panel compares to peers. Whether they’re likely to leave in the next twelve months based on behavioral signals you never thought to look for.

The good news – and I realize I’ve been somewhat relentless about the bad news – is that the building blocks exist. Primary source verification networks that check thousands of sources in real time. Digital credentialing wallets that let clinicians “scan and confirm” their information instead of re-entering it for the forty-seventh time across their career. AI that can synthesize billions of encounter records into a picture of what a clinician actually does, not just what their CV says.

Organizations getting this right are changing what they can see. Sourcing candidates using real clinical activity data instead of job board guesswork. Feeding live provider intelligence into scheduling and referral systems that used to run on stale directory files. Predicting attrition before it shows up as a resignation letter. Faster credentialing with a radically improved provider experience.

 

The real shift is that provider data stops being a compliance file and starts being the strategic asset that is the necessary foundation to future health system success.

Next in this series: Your AI Strategy Has a Provider Data Problem (It Just Doesn’t Know It Yet) — What happens when you bolt artificial intelligence onto broken provider data? Coming next week.

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