Healthcare — ELOQUENCE
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When the call comes in,
every second counts.

ELOQUENCE supports healthcare call centres with AI-powered triage, structured data collection, and intelligent handoff — so medical staff get the right information before they pick up the phone.

Request a healthcare demo → Try the Playground
150+
Simulated clinical dialogues in the pilot corpus
35+
EU languages supported for multilingual triage
24/7
AI supervision layer — always on, never fatigued
0
Raw patient data leaves the system
The challenge

Healthcare call centres are
overwhelmed.

Junior staff are handling anxious callers with incomplete information, under pressure, in multiple languages — and handing off to medical professionals without structured context. The result is slower response, higher cognitive load, and preventable errors.

⚠️
Unstructured intakeCallers describe symptoms inconsistently. Staff have no system to collect structured clinical data in real time.
🌐
Language barriersMultilingual populations — especially in rural or migrant communities — are underserved by English-first AI tools.
🔄
Poor handoff qualityWhen calls escalate, the receiving medical professional starts from zero — no context, no history, no urgency signal.
😓
Staff burnoutHigh call volume with emotionally demanding content leads to fatigue and inconsistent quality of care.
The ELOQUENCE solution
Intelligent triage
AI collects structured clinical information from the caller — before a human picks up
Urgency scoring, symptom capture, and demographic context gathered automatically in the caller's language.
Context handoff
Medical staff receive a full context summary before the call connects
No cold starts. The professional has urgency level, key symptoms, and caller history before saying hello.
Multilingual support
35+ EU languages — including minority and low-resource languages
Callers can describe symptoms in their native language. No interpreter required for initial triage.
Human-in-the-loop
AI assists — humans decide
The system flags high-urgency cases for immediate escalation. Medical staff retain full control at every step.
How it works

From first ring to informed handoff.

Four steps — from the moment a patient calls to the moment a medical professional picks up — fully supported by ELOQUENCE.

01
Call received
ELOQUENCE greets the caller in their language and begins structured intake — symptoms, duration, severity, patient age.
02
Urgency scored
AI analyses the structured data in real time and assigns an urgency level — routing high-risk calls for immediate escalation.
03
Context prepared
A structured summary is compiled — symptoms, urgency, emotional tone, relevant history — ready for the receiving professional.
04
Informed handoff
Medical staff receive the context summary before connecting. They start the call informed, not catching up.
Outcomes

What the pilot
demonstrated.

ELOQUENCE's healthcare pilot was developed with the University of Novi Sad Faculty of Technical Sciences — focused on newborn care emergency queries, one of the most sensitive healthcare call environments.

150+
Simulated clinical dialogues
Full corpus with audio recordings, transcriptions, emotional context annotations, and medical ontology tagging.
Source: D5.2 Pilot 4
35+
Languages available for triage
Callers can describe symptoms in their native EU language — reducing miscommunication risk and barriers to care access.
Source: EuroLLM-9B, Salamandra-7B
0
Raw patient data shared externally
Architecture designed for GDPR compliance. Clinical conversations stay within your infrastructure.
By design — federated architecture

Ready to see it in
your call centre?

We'll prepare a demo using realistic healthcare triage scenarios in your language — so you can evaluate ELOQUENCE on your own terms.

Request a healthcare demo →
Live demo in your language — not a generic English walkthrough.
Healthcare-specific scenarios — triage, urgency scoring, handoff protocols.
48-hour response — from the team that built the system, not a sales rep.
No commitment required — just a conversation about your challenge.