Are you ready to automate your healthcare business? This video breaks down how to build an AI voice solution for the healthcare niche, focusing on automating patient intake. For businesses that handle a high volume of calls, an AI voice system can save countless hours spent on scheduling, insurance verification, and patient intake. This tutorial walks you through the entire process, from understanding the business case to building the system with Vapi.
The video explores why Vapi is the ideal tool for this, as it offers the flexibility and features needed to build and deploy an AI that handles crucial tasks while maintaining regulations like HIPAA compliance.
Here's what you will learn:
- A real-world breakdown of how a healthcare AI voice solution works.
- How an AI system can help businesses save over $200,000 annually.
- The key features of a modern AI patient intake system.
- A step-by-step Vapi tutorial on how to build the solution.
Key Features of the System:
- Automated Call Filtering and Routing: An AI answers calls, determines patient needs, and routes them accordingly, with the ability to transfer to a human.
- Secure Data Collection and Integration: The system integrates with scheduling software and EHRs to securely update records and ensure HIPAA compliance.
- Real-time Insurance Verification: The AI can instantly check patient eligibility by pulling data from a database.
- Appointment Booking and Updates: The system syncs with calendars to book, cancel, or reschedule appointments.
- Analytics and Dashboard: A dashboard provides insights on call volume, handling time, and resolution rates.
- Ongoing Support and Optimization: Continuous monitoring and optimization ensure the system runs smoothly.
Timestamps:
- 00:00 - In this Video
- 00:59 - Why Vapi
- 01:38 - What We’re Building
- 02:40 - Cost & Savings
- 03:40 - Key Features
- 05:23 - Vapi Tutorial
- 13:32 - Demo #1
- 15:35 - Custom Tools
- 21:20 - Demo #2
- 22:20 - Make.com Setup
- 29:07 - Demo #3
- 30:36 - Demo #4
- 31:53 - Unavailable Time Slots
- 35:19 - Key Concepts
