Production-grade clinical AI agents for payers, ministries, hospitals, healthcare enterprises, ISVs, and founders. FHIR-native. EU AI Act conformity-ready. HIPAA on day one.
Agents shaped to OBGYN, oncology, behavioral health, or claims workflow, not retrofitted from a generic vendor catalog.
AWS Bedrock with PrivateLink, Azure OpenAI, or Google Vertex AI under BAA. No public-API calls on PHI.
Risk management file, post-market monitoring, and human oversight documentation produced alongside the build, not after.
One FHIR R4 layer connects the agent to Epic, Oracle Cerner, MEDITECH, and athena via SMART on FHIR.
Prompt, retrieval context, model version, and tool call logged for the conformity record and the OCR bias review.
Production agents need monitoring, drift checks, and re-tuning. Most engagements roll into a steady operations contract.
Outcomes from the clinical AI agents we have deployed across payers, hospitals, ministries, enterprises, ISVs, and founder products.
From scoping to a clinician-supervised pilot inside the EHR.
HIPAA-eligible LLM tier, BAA in place, no public-API calls on PHI.
Prompt, retrieval, and tool call logged for the EU AI Act audit record.
We build clinical AI agents that fit the specialty workflow, run on a HIPAA-eligible model tier, and pass an EU AI Act conformity review.
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The off-the-shelf scribes work for general primary care. They do not work when the specialty needs OBGYN antepartum templates, oncology staging language, or behavioral health risk documentation that the vendor catalog does not cover. Custom is the right call when the buyer is a hospital service line, a payer claims team, a medical-device company, or an ISV adding AI to an existing product and the workflow is the differentiator, not the LLM.
Inference runs on AWS Bedrock with PrivateLink on the HIPAA-eligible tier, Azure OpenAI on the HIPAA-eligible tier, or Google Vertex AI under HIPAA. A Business Associate Agreement covers the model host plus every subprocessor in the chain. We do not call the public OpenAI API for PHI. Network egress to non-BAA endpoints is blocked at the VPC boundary. The audit log shows which model version answered which prompt against which patient context.
The agent talks to an FHIR R4 layer. The FHIR layer talks to the EHR via SMART on FHIR. The clinician launches the agent from Epic Hyperspace, Oracle Cerner PowerChart, MEDITECH Expanse, or athenaOne with patient context already populated. Triage, intake, scribe, prior authorization, claims, eligibility, and follow-up agents all read and write through the same FHIR layer, which keeps the integration count to one regardless of how many agents the buyer rolls out.
Clinical decision support agents fall under the EU AI Act high-risk category, which means a conformity assessment record, a risk management file, post-market monitoring, and human oversight documented in the workflow. GDPR Article 9 governs special-category health data and Article 22 governs the transparency obligation when an agent contributes to an automated decision. Where the agent meets the FDA SaMD definition, we route it through the appropriate 510(k) or De Novo path. HHS OCR guidance on AI bias is addressed with a documented evaluation set.
Whether you're launching a new solution or scaling an existing product, Life Value gives you the clarity, speed, and compliance needed to move with confidence.
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