Saana plugs into the clinician's workflow and the patient's daily life at once — providers keep control and context, patients get education that actually adapts.
Upload guidelines, discharge notes or existing materials. Saana turns them into compliant, multi-modal education — auto-routed to the right patient at the right moment.
A voice-first assistant that meets people where they are — their language, their literacy, their context. No more generic PDFs. No more guessing with ChatGPT.
PDFs of protocols. Discharge notes. Explainer videos. Audio from a clinician. Saana parses them, normalizes them, and links them to the stateful patient graph.
Not a generic chatbot. A vertical architecture built for clinical ambiguity, with deterministic guardrails.
Every output is sourced, clinician-approved, and adapted to the patient's literacy, language and cultural context — across any channel.
A persistent, FHIR-compliant graph capturing clinical state across every touchpoint — so every answer is contextual, not generic.
A system of specialized agents — triage, education, adherence, escalation — that handle the messiness of real medical workflows.
A rule-based gate sits between model output and patient. Every delivery is sourced, traceable, and signed — hallucinations never reach the patient.
Virtual patient personae, generated from the stateful graph, are used in reinforcement testing — so real patients never bear the cost of system improvement.
Saved per case, per hospital — compounding across insurer contracts and patient cohorts. Pilot evidence across chronic-care programs.
Source · PMC/NCBI · 2024