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Clinic Portal Knowledge Base

The AI Receptionist inside MBSPro is designed to support your clinic by handling common patient enquiries, bookings, and call routing. To function effectively, it relies on two key components: A complete Knowledge Base A well-designed call flow setup

Written by Abby Verano
Updated this week

The Knowledge Base acts as your digital reception handbook.

1. Knowledge Base Setup

It contains all the information your receptionist would normally use to answer patient questions.

What to include:

  • Opening hours (clinic & phone lines)

  • Public holiday closures

  • Appointment availability rules

  • Services offered

  • Fees and billing information

  • On-site services (e.g. pathology, imaging, allied health)

  • Doctor availability and schedules

Important:

If information is not included, the AI cannot provide accurate answers.

Even if something seems obvious (e.g. Christmas closure), it must be documented.


2. Integration with Best Practice

The AI Receptionist integrates with your clinical system:

  • Detects appointment availability

  • Identifies when booking is not possible

  • Supports real-time scheduling

This ensures patients receive accurate responses when booking or enquiring.


3. Phone System Setup

To activate the AI Receptionist, coordination with your IT provider is required.

  • Works with systems such as 3CX (or equivalent)

  • Requires call routing configuration

  • Setup varies depending on your phone provider


4. Recommended Call Flow

A balanced call flow is essential for patient experience.

Suggested Structure:

  1. Welcome Message

    • “Welcome to [Clinic Name]”

  2. Optional Announcements

    • Closures

    • Flu clinics

    • Doctor availability

  3. Patient Choice

    • Stay on the line → Human receptionist

    • Use AI → Book / cancel / reschedule

  4. AI Handling

    • Immediate booking support

    • Answers common questions

  5. Fallback to Human

    • Complex enquiries

    • New patient workflows (optional)

    • Any unsupported request

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