Patient calls or starts web intake
The workflow captures the reason for contact, preferred language, callback number, and basic urgency signals before staff time is spent.
AI voice agent for hospitals and doctors
A voice-ready front desk workflow for serious healthcare teams.
Built by Dr Zarak Khan for clinics, hospitals, consultants, and rehab teams that lose patients because calls are missed, questions repeat, families panic, or staff receive incomplete information.
Problem it solves
Most patient engagement fails before the doctor ever hears the case.
Patients and families often call in fear, repeat the same story, ask basic questions, or disappear when no one replies. The voice-agent workflow turns that first messy contact into a structured, safe, staff-readable handoff.
Use case
Hospital front desk after-hours response
Designed for high-volume healthcare teams that need clearer routing without asking clinicians to answer every first-contact question themselves.
Use case
Doctor clinic appointment qualification
Designed for high-volume healthcare teams that need clearer routing without asking clinicians to answer every first-contact question themselves.
Use case
Rehab admission inquiry preparation
Designed for high-volume healthcare teams that need clearer routing without asking clinicians to answer every first-contact question themselves.
Use case
FAQ support for families and attendants
Designed for high-volume healthcare teams that need clearer routing without asking clinicians to answer every first-contact question themselves.
Use case
Callback queue with priority labels
Designed for high-volume healthcare teams that need clearer routing without asking clinicians to answer every first-contact question themselves.
Use case
Bilingual Urdu and English call scripts
Designed for high-volume healthcare teams that need clearer routing without asking clinicians to answer every first-contact question themselves.
AI assistant follows the approved script
The assistant gives operational information, asks structured intake questions, and keeps the tone calm, concise, and human.
Risk is routed to humans
Emergency, self-harm, acute confusion, intoxication, or severe medical risk is escalated immediately instead of being handled by automation.
Doctor receives a handoff summary
The final output is a clean summary for the clinic team: concern, urgency, requested service, next action, and callback priority.
Implementation path
Start with a web-call workflow. Add live phone calls when the clinic is ready.
Phase 1
Script, service map, safety routing, FAQ bank, callback queue, and handoff template.
Phase 2
Clinic-branded browser demo for staff training and patient intake simulation.
Phase 3
OpenAI Realtime/SIP live call integration after phone provider, consent, and escalation policy are ready.
Clinical safety
Automation should protect the patient, not replace the clinician.
Guardrail
The assistant identifies itself as AI-assisted support.
Guardrail
It does not diagnose, prescribe, change medicines, or promise admission.
Guardrail
Emergency and imminent-risk messages route to live help immediately.
Guardrail
Only minimum necessary information is requested for callback and routing.
Guardrail
All scripts are reviewed before launch so the hospital controls the tone.
Guardrail
Staff remain responsible for clinical decisions and patient follow-up.