If you run a hospital, a clinic, a practice group or a healthcare services company, the protocols, schedules, purchasing records and training materials your organization has built up over the years are work AI labs want their models to learn from. Buyers tell us healthcare is on the short list of industries they'll pay a premium for. Patient records are not part of this, and this guide keeps them out from the first line. Read on to find out why labs want healthcare work, what in your organization you can license, what stays out, and how the process runs.
Why AI labs want healthcare work
Buyers pay a premium for full company datasets from industries built on high-value knowledge work, and healthcare is one of the industries they name. Running a clinic is a long run of decisions. Someone sets the protocol, someone staffs the shift, someone orders the supplies before they run out, and someone keeps the equipment in service. Almost none of that is on the public internet, and your organization holds years of it with the outcome of every decision on record.
Our guide to who buys company data for AI training covers the five kinds of buyer and how you reach them.
What GDPval shows about healthcare work
OpenAI's GDPval benchmark, published in September 2025, shows which jobs labs measure their models against. It tests AI models on real tasks from 44 occupations across the nine sectors that each contribute more than 5 percent of US GDP. Health care and social assistance is one of the nine, and its five occupations are registered nurses, nurse practitioners, medical and health services managers, first-line supervisors of office and administrative support workers, and medical secretaries and administrative assistants. Three of the five are the people who run the organization around the care.
OpenAI built each task from the work product of a working professional. Those professionals average 14 years of experience, and a task takes an expert about seven hours to complete. OpenAI also reports that models perform better when they get more context about a task, and your operating records hold that kind of context for real healthcare work.
What stays out, before anything else
Patient records stay out. That covers charts, notes, images, lab results, claims and billing lines tied to a patient, appointment records that name a patient, and anything else that identifies a person who received care, with or without the names removed. Health privacy law (HIPAA in the US) decides what you can do with that information, and this guide doesn't change it.
Whether de-identified clinical data (patient data with the identifiers stripped out) can ever be licensed is a question for your compliance team and your counsel, and we don't answer it here. Everything below is about the organization around the care, and none of it needs a patient record to be valuable.
What a healthcare company can license
| What you hold | What it shows | What has to come out first |
|---|---|---|
| Clinical protocols, care pathways and policies | How your organization decides care should run, and how that changed over the years | Any example drawn from a real patient |
| Scheduling and staffing records | How a day, a shift and a department get staffed, and what happened when they weren't | Staff names and personal details |
| Supply, pharmacy and equipment purchasing | How your buyers pick suppliers, what gets ordered, and how the order turned out | Supplier pricing covered by a confidentiality agreement |
| Equipment maintenance and facility logs | What broke, why, and how it was fixed | Vendor service terms you agreed to keep confidential |
| Training materials and onboarding guides | How you teach the work to new staff | Examples drawn from real patients |
| Quality, safety and compliance reports | How the organization measured itself and what it changed | Anything that identifies a patient, in aggregate reports too |
| Operations email and chat | The reasoning between the records | Anything about a patient, and personal details |
The value is highest where these connect. A protocol linked to the staffing plan that delivers it, the purchasing record that supplies it, and the quality report that measured it is a complete record of how your organization runs care. Buyers are also asking for structured records more than text, so your scheduling system, your purchasing system and your maintenance logs matter more than your inbox. Our guide to how manufacturers can license their data to AI labs covers the same operations-first approach for a plant, and our guide to how law firms can license their data to AI labs covers the other industry where most of what you hold is confidential.
The rest of the exclusions
You decide the exclusions before anything is exported:
- Patient records and anything that identifies a patient, covered above.
- Anything received under a confidentiality agreement, including supplier pricing and vendor service terms.
- Payer and insurer contracts and the terms in them.
- Licensed content, like clinical reference material and coding resources you subscribe to.
- Current programs you want to protect. Many organizations start with retired protocols, closed locations and completed projects.
- Names and personal details of staff, suppliers and anyone else in the records, which are replaced with pseudonyms to a documented standard.
- Credentials and access details.
This isn't legal advice, and your compliance team and counsel should sign off on the scope before anything is exported. If your organization provides services to other healthcare companies, our guide to what agencies and consultancies can license to AI labs covers what you own and what your clients own.
Work that can be checked is the easiest to license
Buyers tell us that the more objectively a piece of work can be checked, the more readily they license it. Healthcare operations are checked constantly. A shift was staffed to plan or it wasn't. A supply order arrived before the stock ran out or it didn't. A protocol was followed and the audit says so. Records that show an outcome are worth more than records that don't, and your operating records carry their outcomes with them. Our guide to how much your company's data is worth to AI labs covers the six factors behind the price.
What it's worth
Typical full-company licensing deals start at six figures, and buyers pay a premium above that for industries like healthcare. There's no rate card, and a real number takes a scoping call. One public reference point is Spirit Airlines, whose operating records drew bids of 10 million and 12.5 million dollars in bankruptcy court, and that package included years of maintenance records. Our breakdown of the Spirit Airlines data deal covers what was in it.
How the process runs
Licensing through us runs in five steps, and then you're paid:
- Assessment. You take the free assessment, we hold a short call, and you decide what's in and what's out.
- Agreement. You review and sign standard terms covering your license and your earnings.
- Verification. You show us the data exists and matches what you described. Screenshots of your systems are enough, and nothing gets connected or installed.
- Snapshot. We build an anonymized profile of your data and put it in front of buyers, without your organization's name.
- Data extraction. When a buyer wants to go further, you export the records with our guidance, and we replace names and personal details with pseudonyms and document what's included in a manifest.
- Get paid. Buyers evaluate the snapshot without knowing whose it is, the first sale closes, and you're paid on every sale after it.
You keep ownership the whole way through, and your organization is never named publicly. Our guide to how long it takes to license your company's data covers the timeline and what buyers check, and our owner's guide to licensing company data for AI covers the full process.
Where to start
The quickest way to find out what your organization's operating records could license for is to take our free data value assessment (ten questions about your systems, history and industry, about five minutes). You get an estimate, and a scoping call after that gets you a real number.
Where Troveo fits
Troveo is the marketplace that puts your data in front of all five kinds of buyer. We work with more than 40 active buyers and we've paid rights holders more than 20 million dollars. You sign one license, you decide what's in and what's out, we verify and profile your data, we handle the packaging and every buyer conversation, and you're paid on every sale with no fees and no deductions. Start with the data value assessment, read our business data page for how the process works, or talk to us about what your organization holds.