Can a Medical Practice Sell or License Its Data to AI Companies?
AITrainingDataBroker.com
Can a medical practice
sell its data
to AI companies?
For clinics and practices: what HIPAA allows, and what AI companies want.
Jimmy Lin
Can a medical practice sell its data to AI companies?
If you run a medical practice, your team does a lot more than see patients. Pre-approvals. Denied claims. Phone calls. Scheduling.
AI companies now want to learn how that work gets done. So can a medical practice sell its data? Yes, but there's one line you can never cross.
Stay with me, and I'll show you exactly where that line is, and what's on the safe side of it.
The video
Full script
If you run a medical practice, your team does a lot more than see patients. Pre-approvals. Denied claims. Phone calls. Scheduling.
AI companies now want to learn how that work gets done. So can a medical practice sell its data? Yes, but there's one line you can never cross.
Stay with me, and I'll show you exactly where that line is, and what's on the safe side of it.
Here's a number every practice owner knows too well. The AMA asked a thousand doctors about pre-approvals, the forms you send so the insurer will pay.
Each doctor sends about forty a week. And it takes about thirteen hours of doctor and staff time. Every week.
That's exactly the kind of work AI companies want to take off your plate. And to learn it, the AI needs to see how real practices do it.
I'm Jimmy. I've worked in data at Fortune 500 companies, as a data analyst, a data engineer and a software engineer, and I'm trained in data science. I'm also a Canadian military veteran, where I specialized in data analysis and reporting.
Selling your data? We get you the best price and keep your data private. Buying data for an AI lab? We find quality data that fits your requirements and see it through to delivery, so your team can focus on advancing AI research.
Let's start with the line. Under HIPAA, a practice can't sell patient records. Not without each patient's written OK, and that's not something you'd ever do here.
So patient records with names are never for sale. Neither is anything that could point back to a patient.
What's on the safe side? Two things. First, records with the names and details removed the HIPAA way. Once that's done, the law no longer treats them as patient records. Second, your practice's own know-how: how your team gets things done.
Your own lawyer and privacy officer check all of this before anything moves. Some states have extra rules.
So what do AI companies want from a practice? Not your diagnoses. The work around the visit.
Pre-approvals: what you sent, and what the insurer said. Denied claims: why they were denied, and how your team got them paid. Scheduling: who books, who cancels, who doesn't show up. And the calls and messages your front desk handles every day.
Every one of those steps is a decision your staff made. That's what AI needs to learn from.
Is this real? Look at how fast doctors are using AI.
In 2023, the AMA found thirty-eight percent of doctors used AI at work. In 2026, it's eighty-one percent. Most of that is AI that writes the visit notes.
The exam room went first. The front office is next. And the companies building those tools need real examples of front-office work. That's why they'll pay for it.
Here's what that looks like. This is a note from a denied claim.
Maria Gomez, born March fourteenth, 1961. Knee MRI denied, because there was no record of six weeks of therapy. The team sent the therapy notes. Approved in nine days.
After the names are removed, Maria is Patient 4471. Her birthday becomes just her age. Under HIPAA's rules, dates more exact than the year come out, and so do names, phone numbers and record numbers.
What stays is the lesson: why it was denied, and what fixed it. That's what the AI learns.
How it's done, and who does it, is written into the contract. And it's a license. You keep your data.
Here's a test you can do this week. Call it the denied-claim test.
Pull one denied claim from last year. In your systems, can you see why it was denied? What your team sent back? And whether it got paid, and when?
If you can follow that whole story, your practice has the kind of records AI companies want.
It also helps to have about thirty or more people, three or more years on the same practice software, and records mostly in English.
Your part is mostly exporting the data, and we help with that. Not sure? The free check at the end tells you.
In healthcare, privacy comes first. Then the price. Here's how I work.
First, I bring your practice to the AI companies that want this kind of work, more than one, so they compete on price.
Second, the HIPAA rules are written into the license: what's in, what stays out, and how names are removed. Each deal is also reviewed by an outside lawyer and covered by an outside insurer.
Third, nothing is signed until your own lawyer is happy with it. The terms, how long the license runs and the price are worked out case by case.
And my fee comes only from a closed deal.
So yes, a medical practice can sell its data. Never patient records with names. What sells is how your practice runs: the pre-approvals, the denials, the fixes, with names removed the HIPAA way.
If you run a company with thirty or more people, the records you already have could become a new revenue stream. Find out if yours qualifies, free, at AITrainingDataBroker.com.
Thank you for watching. See you in the next one.
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