Clinical answers, grounded in your own guidelines
For a care team — looking up drug interactions, dosing, and internal guidelines mid-shift.
A nurse mid-shift needs to know whether a patient's new prescription interacts with something already on their chart. The old way: open the internal guideline PDF, search a few guesses, maybe land on the wrong document entirely — or interrupt a senior colleague who's busy with their own patients.
One way it plays out
- The question goes into a simple search, in plain language — no digging through PDFs, no paging someone off the floor.
- The answer comes only from your own guidelines, with the source shown — it finds the passages that actually address the question (matching both the meaning and exact drug names and dosages), and every claim in the answer cites the specific document and section it came from.
- When it's not sure, a person checks first — each answer carries a confidence level; anything below the line is flagged for human review before it's acted on, instead of being presented as settled.
That's one way it plays out — the guideline library, the citations, and the review threshold get shaped around your protocols.
So the nurse gets a grounded, cited answer in seconds instead of a guess — and the uncertain ones route to a clinician. This is a source-grounded lookup with human escalation, not a medical device or a substitute for clinical judgment; the final call always stays with a licensed clinician. Every question, its sources, and its confidence are logged, so you can see how well it's doing over time.
Works for: healthcare knowledge bases, clinical guideline lookup, and internal teams needing source-grounded answers with an audit trail.
Everything stays on servers here in Canada, and once it's built the whole thing is yours to keep — not a subscription, and not tied to anyone's platform. I'm here in Winnipeg: I set it up, and I stay with you and your team until it's running the way you want.
Curious how it's built? Technical breakdown available on request.