Pilot-ready Product

ZeptAI Health
Conversation Assistant

A voice- and text-enabled conversational system that helps collect patient-provided information, organize symptoms and history, and generate a structured summary for review. The system is designed to support communication and documentation; it does not replace qualified medical professionals or provide autonomous diagnosis.

Clinical Workflow Flowchart

Patient Voice/Text → Conversational Intake → Information Extraction → Structured Summary → Human Review → Export/API

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Voice Interface

READY

Target Users

Clinics and hospitals

Telehealth platforms

Health camps and screening programmes

Medical arresechers

Digital-health companies

Educational and controlled demonstration environments

Deployment Options

Secure web application

Easy deployment inside browser frames with strict token access.

Private institutional deployment

Host on private cloud/local infrastructure for compliance.

API integration

Integrate core conversational summarization directly into EMR systems.

Local or controlled-data deployment

Run inference on local nodes to keep data on-premise.

Research pilot environment

Conduct clinical trials and capture research telemetry safely.

Operational Boundaries

What it does

• Collects structured symptoms and timeline history.
• Guides patient conversations in a friendly flow.
• Adaptively asks follow-up questions for completeness.
• Generates reviewable clinical summaries.

What it does not do

• Does not provide medical diagnoses or prescriptions.
• Does not act as an autonomous clinical decision-maker.
• Does not replace clinicians or human oversight.
• Does not triage emergency medical events.

Evidence and Validation Area

Prototype statusActive Pilot

Number & type of test cases150+ simulated cases

Extraction accuracy92% entity matching

Summary completeness95% clinical overlap

Inference Latency<1.5s turn latency

Hallucination rate<1.0% (strict schema)

ZeptAI HealthConversation Assistant