Clinical and administrative answers have to come from the guideline in force today — and they can never expose a patient. We engineer PHI-safe retrieval-augmented generation that grounds every answer in your guidelines, SOPs, and coding references with a citation to the controlling source, deployed on-prem so protected data stays inside your walls.
Healthcare is a retrieval problem before it is a generation problem. The governing text lives across clinical practice guidelines, nursing and pharmacy SOPs, formularies, and ICD-10/CPT coding references — versioned, frequently revised, and protected. A naive vector search over that corpus returns a plausible-looking but outdated passage, and the model fills the gap with confident fiction. In a clinical setting that failure mode is unacceptable.
We engineer the retrieval layer so the right chunk wins every time: structure-aware chunking that keeps dosing tables and decision trees intact, hybrid retrieval with reranking across near-duplicate guideline versions, and grounding that constrains the model to answer only from what it retrieved — with a citation to the document and version in force. The entire pipeline runs inside your environment, retrieval is scoped to each user's role, and every access is logged, so nothing about a patient and nothing from your controlled content ever leaves the building.
A retrieval layer engineered around clinical accuracy, protected data, and the version control your guidelines demand.
Value concentrates wherever staff burn time searching for the current rule — or risk acting on an outdated one:
We engineer the retrieval and inference pipeline to run inside your environment — on-prem or in your HIPAA-aligned cloud tenant — so protected health information and clinical content never leave your control. Embeddings are generated locally, retrieval is scoped to a user's role, and every query and its sources are logged, so the model is brought to the data rather than the data being shipped to the model.
We chunk clinical guidelines, SOPs, and formularies with effective dates and version metadata preserved, and the index is synced to your source-of-truth repositories so superseded versions are retired. Retrieval is constrained to the in-force document, the model answers only from what it retrieved, and each response links to the controlling guideline so a clinician or coder can verify it at the point of use.
Bring a guideline set or SOP library and a few questions your teams ask daily. In thirty minutes we will show how PHI-safe, cited retrieval answers them on infrastructure you control. Response inside 24 hours.
As an enterprise AI agency, eeko systems delivers production AI systems remote-first across the United States and internationally — including these markets: