Can a healthcare company license its SOPs, documents and code for AI training?
Yes, if your company owns them and protected health information stays out unless a compliant process covers it. Most of what a clinic network, revenue cycle firm, health-tech vendor or drug manufacturer knows about its own work is not patient data: it is procedures, policies, training, interface guides, help-desk threads with customer clinics and code. This page is about that operational knowledge, never patient clinical records such as charts, notes, results or images. Much of a company's data already lives in third-party software. Licensing it means re-licensing what already exists, and getting paid for it rather than giving it away for free.
Which healthcare and life sciences data can we license?
The data that shows how your company works:
- SOPs and process documentation: revenue cycle, eligibility, prior authorization, coding and billing, credentialing and scheduling; in life sciences, GMP, quality, validation and change-control procedures. See SOPs and process documentation.
- Policies, training material and knowledge bases: privacy and security policies, workforce training decks, internal wikis and decision guides. See internal documents and knowledge bases.
- Technical documentation: product manuals, HL7 and FHIR interface specifications, implementation guides and validation documents. See technical documentation and specs.
- Support conversations: tickets, chats and email with the clinics, payers and other business customers you serve. See support tickets and customer conversations and chat and email archives.
- Code: repositories, review history and engineering records for integrations, scheduling, claims and billing logic. See codebases and engineering history.
Regulation means many of these libraries already exist in writing. HIPAA requires a covered entity to keep its privacy policies and procedures in written or electronic form, train its workforce on them, and retain that documentation for six years from when it was created or last in effect, whichever is later (45 CFR 164.530). US drug-manufacturing rules require written production and process control procedures, approved by the quality control unit, with any deviation recorded and justified (21 CFR 211.100).
Where does this data live in a healthcare or life sciences company?
It lives in software you already run. Procedures and policies sit in a document control or quality management system, SharePoint or Confluence; training material in a learning platform; customer conversations in a help desk or CRM; code in GitHub, GitLab or Bitbucket. No new data collection is needed.
Why do AI labs and agent builders want healthcare SOPs and documents?
Because healthcare administration is high-volume work governed by detailed rules, and an AI agent is only useful there if it follows them. In the AMA's 2025 prior authorization physician survey of 1,000 physicians, administered in December 2025, practices completed an average of 40 prior authorizations per physician per week, physicians and their staff spent 13 hours a week on them, and 40% of physicians said they have staff who work exclusively on prior authorization (AMA 2025 prior authorization physician survey).
An agent that takes on work like that has to apply payer rules, internal policy and escalation paths, and how your team actually applies them lives in your SOPs, playbooks and support threads rather than in public text. Following rules was a weak point when it was first measured: in June 2024, τ-bench, a benchmark that gives agents tools plus domain policy guidelines, found that even state-of-the-art function-calling agents (like gpt-4o) succeeded on fewer than 50% of tasks and were quite inconsistent across repeated trials (τ-bench, arXiv 2406.12045). Support conversations add how real questions get resolved, and code shows how integrations and billing logic behave in production.
What is healthcare company data worth?
Partnerships typically range from $50K to $3M+. The most useful libraries show more than the current version of each document:
- Version history: each revision, who approved it and why.
- Linked outcomes: deviations, denials and audit findings tied to the step involved.
- Coverage: a full library across departments, not a few showcase documents.
- Exceptions: escalation paths and payer-specific rules.
What does HIPAA allow, and what stays out?
HIPAA restricts how protected health information (PHI) is used and disclosed; it does not stop you licensing your own procedures, so administrative SOPs, policies, training material and code can generally be licensed once checked for patient details, while PHI needs a compliant process or stays out. This is general information, not legal advice; confirm it with your privacy officer or counsel.
- Patient clinical records stay out: charts, notes, results and images.
- Selling PHI needs authorization. A covered entity or business associate may not sell PHI except under, and in compliance with, 45 CFR 164.508(a)(4) (45 CFR 164.502(a)(5)(ii)), which requires the individual's authorization stating that the disclosure will result in remuneration (45 CFR 164.508(a)(4)).
- De-identified data is outside the Privacy Rule. Its requirements do not apply to health information de-identified under 164.514, though disclosing a code or other means of record identification designed to let it be re-identified counts as disclosing PHI (45 CFR 164.502(d)(2)).
- Two routes to de-identification. Expert Determination: a qualified expert finds, and documents, that the risk is very small that the information could be used, alone or in combination with other reasonably available information, by an anticipated recipient to identify someone. Safe Harbor: remove 18 listed identifiers of the individual and of relatives, employers or household members, including names, all elements of an individual's dates except the year, device identifiers, URLs and IP addresses, with no actual knowledge that what remains could identify anyone (45 CFR 164.514(b)).
- Business associates follow their contracts. A vendor handling PHI for providers may use or disclose it only as its business associate agreement permits or the law requires (45 CFR 164.502(a)(3)), so check those agreements before customer tickets go in scope.
PHI also hides in material that looks administrative: training slides built on real cases, tickets with patient names, test fixtures in a repository, logs. State laws and laws outside the US can add rules. See is it legal to sell company data to AI and the data licensing agreement for AI training.
What does fearofgod.ai handle when you license healthcare company data?
fearofgod.ai runs the licence through five steps: a partnership form, a conversation, scope and terms, data preparation, then delivery and payment. fearofgod.ai de-identifies the data before it goes to buyers. That step does not replace HIPAA's own requirements, so keep PHI out of what your company puts in scope unless a HIPAA-compliant process covers it first. Raw data is deleted according to a schedule agreed with the partner. A partner company's name stays confidential until the agreement is fully signed, and a completely anonymous partnership is also possible. fearofgod.ai works with companies based in the US, the EU, the UK, Canada, Australia, New Zealand and Japan. See how to sell data to AI companies, or talk to our team.
Selling healthcare company data to AI companies
A healthcare or life sciences company that owns its SOPs, documents, support conversations and code can sell that healthcare company data to AI companies by licensing it with fearofgod.ai, securely and for long-term revenue. Partnerships typically range from $50K to $3M+. Partners can be paid more than once, through renewals and repeat licences.