AI governance for Healthcare.
AI that handles protected health information the way HIPAA demands — minimum-necessary access, BAA-ready architecture, and on-prem inference with no PHI egress. Patient data stays inside your covered environment, and every disclosure is accounted for.
AI that treats PHI like PHI
Healthcare AI fails compliance the moment patient data crosses a boundary it should not. Under the HIPAA Privacy and Security Rules and HITECH breach-notification requirements, a model that ships PHI to an external API is a disclosure you have to defend — and often one you cannot. We build the inverse: inference that runs inside your own covered environment, so PHI is never handed to a vendor you have not brought under a Business Associate Agreement.
From there, the rest of the controls follow the rules clinicians and privacy officers already live by. The minimum-necessary standard governs what a model can retrieve. The accounting-of-disclosures obligation is met by an append-only log of every access. De-identification is applied wherever identified data is not strictly required. Your privacy and security teams get a system they can map directly to their existing HIPAA risk analysis.
Controls your privacy officer can sign.
Each capability maps to a HIPAA safeguard — administrative, physical, or technical — not a generic security checkbox.
- Security Rule safeguard mapping
- HITECH breach-notification readiness
- Accounting-of-disclosures logging
- No PHI egress to model vendors
- BAA-minimized architecture
- Encrypted at rest and in transit
- Minimum-necessary retrieval
- Role and relationship-based access
- Append-only disclosure trail
Where governance is non-negotiable in Healthcare
The clinical and operational AI worth building all touches PHI — which is exactly why governance comes first:
- Clinical documentation support — drafting and summarization over the chart that must respect minimum-necessary and log every record the model touched.
- Prior authorization and revenue cycle — automation across payer and patient data where every PHI access has to be accountable for audit.
- Patient communication — AI-assisted messaging that stays inside HIPAA-permitted disclosures and never leaks identified data to an external service.
- Research and de-identification — pipelines that strip identifiers to the HIPAA Safe Harbor or expert-determination standard before any secondary use.
Common questions.
Does AI on PHI require a Business Associate Agreement?
Yes. Any system that creates, receives, maintains, or transmits PHI on your behalf is a business associate and needs a BAA. We architect so the inference layer runs inside your own HIPAA-covered environment — so in most deployments there is no third-party model vendor touching PHI at all, and any remaining vendor is BAA-covered and minimized.
How do you enforce the HIPAA minimum-necessary rule in an AI system?
Retrieval is access-governed against your existing role and patient-relationship rules, so a model can only surface the PHI a given user is already entitled to see. Prompts and outputs are logged for the accounting-of-disclosures trail, and de-identification runs wherever the use case does not strictly require identified data.
Explore related capabilities.
Put AI to work without risking PHI.
Bring your hardest privacy or security question. In thirty minutes we map how an AI system stays inside HIPAA, keeps PHI in your environment, and satisfies your risk analysis — and leave you with a concrete path. Response inside 24 hours.
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Markets served.
As an enterprise AI agency, eeko systems delivers production AI systems remote-first across the United States and internationally — including these markets: