In this course, you鈥檒l learn how to use Generative AI to improve scheduling efficiency, reduce no-shows, and enhance patient experience without any coding required. Through hands-on practice with tools like ChatGPT, Custom GPTs, and AI-powered platforms, you鈥檒l gain practical skills to automate appointment tasks and streamline your workflows. Whether you're a scheduler, administrator, or clinic manager, this course will help you apply AI in simple, powerful ways.
GenAI for Patient Scheduling & Appointment Management
Gain insight into a topic and learn the fundamentals.
Intermediate level
Recommended experience
4 hours to complete
Flexible schedule
Learn at your own pace
What you'll learn
Prompt GenAI tools like ChatGPT to generate patient scheduling documentation, resolve FAQs, and enhance scheduling operations.
Build and deploy Custom GPTs to automate specific patient scheduling tasks.
Implement SaaS-based AI scheduling solutions to optimize appointment management and workforce scheduling workflows in healthcare settings.
Develop a comprehensive AI implementation roadmap, including tool selection, integration steps, staff training, and change management.
Skills you'll gain
Details to know
Shareable certificate
Add to your LinkedIn profile
Recently updated!
June 2025
Assessments
1 assignment
Taught in English
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There is 1 module in this course
In this course, you鈥檒l explore how to use Generative AI to automate appointment scheduling workflows and enhance patient engagement without writing a single line of code. Through hands-on experience with tools like ChatGPT, Custom GPTs, and AI-driven platforms, you鈥檒l learn to reduce no-shows, streamline communication, and optimize scheduling operations in healthcare settings. You鈥檒l also evaluate automation strategies, identify bottlenecks in patient flow, and develop scalable solutions that improve efficiency, reduce administrative burden, and elevate the overall patient experience.
What's included
16 videos5 readings1 assignment5 peer reviews2 discussion prompts
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Frequently asked questions
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