Healthcare Software Data for AI Training: What Health-Tech Companies Can License
By Andrew Smart, founder of MON$TER · About
Health-tech companies that build practice management, scheduling, billing-workflow or patient-engagement software sit on years of operating history: how appointments get booked and missed, how long each billing step takes, where claims stall and which workflows save staff time. AI teams building healthcare operations tools need real examples like these, and almost none of it is on the public web.
What buyers usually look for
- Scheduling patterns: booking lead times, no-show and cancellation rates, peak hours
- Billing workflow timing: how long each step takes and where work gets stuck
- Denial and rework reasons, rolled up and de-identified
- How staff use the software: feature usage, task volumes, time to complete common jobs
- Support tickets and help requests with all personal details removed
Most of this is operations data about how the software is used, not medical records. Long, consistent history across many practices is worth more than a single large client. Research and trial companies have their own angle, covered in clinical research data for AI training.
What stays out
Patient information, including names, dates of birth, contact details, record numbers and anything else that could identify a person, must be removed before any buyer sees the data. Health data is heavily regulated, and your agreements with clinics and other customers may limit what you can do even with de-identified data. Review those agreements with your attorney and compliance lead before licensing anything. This is general information, not legal advice. See what counts as PII and what a data processing agreement is.
What it can pay
Published MON$TER ranges: an exclusive one-time sale typically lands at $50K-$1M, and a non-exclusive recurring license typically runs $300K-$3M per year. No amount is guaranteed and not every company qualifies. See how much is my company data worth?
How to start
List the systems you run, how many years of history each holds, how many customers it covers and any contract limits. Buyers see a description first, never your raw data. Start at Business Data.