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Voice Agent Demos for Healthcare

Hear how a healthcare-safe voice agent answers calls, captures intent, routes to booking, and escalates to your team—without providing medical advice.

MDS designs AI voice agents for healthcare that focus on operational assistance—routing callers to the right next step, capturing booking intent, and handing off to humans with clear disclosures and privacy guardrails.

Demo is simulated. No medical advice. Do not share personal medical information. Outcomes vary; no guarantees.

Choose a call scenario. Hear the flow.

These are example patterns. We tailor language, policies, and handoff rules to your specialty, locations, and team workflows.

New appointment (simulated)

Goal

Capture booking intent and route to scheduling

What the agent can say

Greeting, operational info, booking options, location selection

Safe qualifiers (non-clinical)

Location preference, timeframe, new/returning patient

Handoff path

Booking link, callback queue, or live transfer

Simulated call transcript
Agent

Thanks for calling. I can help with booking, pricing, locations, or connecting you to the team. This is an automated assistant—no medical advice.

Caller

I want to book a new appointment.

Agent

Great. Which location do you prefer, and are you looking for this week or next?

Agent

To confirm the right slot, are you a new or returning patient? (No clinical questions.)

Agent

I can send booking options by WhatsApp or connect you to the front desk now—your choice.

Anatomy of a healthcare voice flow

1

Step 1Disclosure

automated assistant + scope boundaries (no medical advice).

2

Step 2Intent capture

booking, pricing, location, billing, speak to team.

3

Step 3Safe qualifiers

location preference, timing window, new/returning patient, preferred channel (with consent).

4

Step 4Routing

to scheduling link, callback queue, WhatsApp handoff, or live transfer.

5

Step 5Summarization

structured "handoff note" to staff/CRM (non-sensitive).

6

Step 6Auditability

logs + transcripts (where enabled) + QA checkpoints.

Safety boundaries built into every call

Do:

  • clarify scope
  • answer operational questions
  • capture booking intent
  • route to humans

Don't:

  • diagnose
  • interpret symptoms
  • give treatment advice
  • discuss lab results

Red-flag triggers → immediate human handoff:

clinical questions, urgent symptoms, complaint escalation, privacy-sensitive requests

Emergency message (must be visible):

If this is a medical emergency, call your local emergency number immediately.

Privacy-first language: "Please don't share personal medical information on this call."

Designed to hand off to humans—fast

Telephony (SIP/PBX/Twilio)

Call center tools

Scheduling

CRM

WhatsApp

Email/SMS (consent-first)

Analytics

Handoff options:

live transfercallback requestWhatsApp handoffbooking linkticket creation

What staff receives:

intent + location + timing + preferred channel + notes (no clinical data).

Note: Integrations depend on your stack; we map this during discovery.

If you want this in production

1

Step 1Discovery

map your call intents, scripts, and escalation policies.

2

Step 2Safety review

boundaries + disclosures + emergency handling (EN/AR).

3

Step 3Integration

connect telephony + CRM + scheduling + reporting.

4

Step 4Pilot

limited hours/locations; measure deflection, transfers, and bookings.

5

Step 5Rollout

expand coverage with ongoing QA and script iteration.

Request an AI Demo to see your top 3 call scenarios.

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Frequently asked questions

See your call flow in action

Request a demo and we'll tailor the scenarios to your locations, specialty, and booking workflow—within clear safety boundaries.