Engineered and deployed for NUNA AI
Most of what a clinician needs to know, the patient says in conversation — and most of it never reaches the consultation. NUNA AI runs that conversation: a Socratic intake dialogue that gathers symptoms, history, behaviour, and emotional state, and hands the clinician a structured, consultation-ready summary before the appointment begins.
Interface shown is a representative demonstration.
What It Does
Socratic intake dialogue: the system leads a natural conversation — text or voice, multilingual — that draws out symptoms, medical history, and the concerns patients don't volunteer on a form.
Behavioural & emotional indicators: language, context, and response patterns are analysed for wellbeing signals — flagging what a ten-minute consultation would miss.
Consultation-ready summaries: key themes, extracted keywords, risk flags, and recommendations — organised for the clinician, not the machine.
Escalation built in: cases that need clinical attention are routed to a human immediately. The clinician stays in control of every decision — NUNA prepares, it doesn't prescribe.
How It Works
In the demonstration build, the conversation runs alongside camera-based rPPG vitals — heart rate, HRV, breathing rate read contactlessly during the dialogue — the same bio-analytics capability Aliera engineered for live care platforms.
The patient talks naturally — before, during, or after care. No forms, no fixed scripts; the dialogue adapts to what the patient says.
Four parallel streams: symptom understanding, behaviour analysis, emotional indicators, and patient history & context.
The analysis becomes structured intelligence — an AI-generated summary with key insights, risk flags, and recommendations.
The clinician receives organised, actionable insight for diagnosis support, treatment planning, and follow-up — and makes the call.
Where It's Used
Symptoms, history, and concerns collected before the consultation — so the appointment starts informed, not from zero.
Behavioural patterns, emotional indicators, and patient-reported outcomes monitored through supportive dialogue.
Regular contact with long-term patients: adherence, wellbeing, and early warning on emerging concerns.
Clinical context gathered ahead of remote consultations, with structured summaries delivered to the professional.
Engagement continues after treatment — recovery tracking and continuity of care without added clinic workload.
Hospitals, clinics, mental-health services, and integrated systems: secure data processing, enterprise integration, cloud or on-premise deployment.
Why It Matters
Intake and follow-up are where healthcare loses the most clinician time to administration — and where patients feel least heard. NUNA AI moves that work to a system that scales: consistent, structured patient information on every case, earlier identification of behavioural and emotional concerns, and consultations that start with understanding instead of data entry. The human connection isn't automated away — it's what the freed-up time is for.
Engineered and deployed by Aliera's AWRTD teams — research to deployment, integrated into the client's production platform.
Platform interfaces shown are representative demonstrations — client data and production dashboards remain confidential under NDA.
Aliera engineers healthcare AI from research to deployment — conversational intelligence, bio-analytics, and clinical decision support. Tell us what your patients need.