The Future of MedEd: Chatbots, AI, and Personalized Learning

Write Medicine

Are you curious about how artificial intelligence and chatbots are revolutionizing continuing medical education (CME) and transforming the way clinicians learn?

As a CME professional, you constantly seek innovative ways to create engaging and effective educational experiences for your clinician audience. Staying up-to-date with the latest technological advancements, such as AI and chatbots, is crucial to address the specific knowledge gaps and practice needs of busy healthcare providers.

This episode will provide valuable insights on using these cutting-edge tools to enhance your CME programs.

1. Discover how AI-powered chatbots can provide clinicians with personalized, real-time answers to their clinical questions, while seamlessly integrating with validated educational content.

2. Learn how to use data from chatbot interactions to identify knowledge gaps, trending topics, and urgent educational needs, enabling you to create more targeted and impactful CME programs.

3. Gain a deeper understanding of the future of AI in CME, including the potential of machine learning to predict learner gaps and deliver need-specific education, as well as the challenges and opportunities of using generative AI to create customized content.

Tune in to hear Alana Brody MBA, CHCP, Executive Director, Vice President of Strategic Educational Design, and David Setiadi, Chief Technology Officer at Projects in Knowledge Powered by Kaplan, share their expertise on how AI and chatbots can help you create cutting-edge, engaging, and effective CME experiences for your clinician audience!

Takeaways

1. It’s possible to use AI-powered chatbots in your CME programs to provide clinicians with a quick and reliable way to get their clinical questions answered at the point of care. Over time, you can build and maintain a cycle of trust with clinicians, ensuring they can rely on the technology for efficient and effective patient care.

2. You can use data from chatbot interactions to gain valuable insights into your learners' knowledge gaps, educational needs, and trending topics.

3. Pay attention to copyright compliance and privacy. To safeguard the rights of original publishers, you’ll need to verify that the information provided through chatbots is copyright compliant and establish protocols to ensure that all learner data is deidentified to ensure privacy.

Connect with Alana

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Timestamps

0:00 Introduction

01:54 Exploring what chatbots are and how they have entered the CME space

02:47 How chatbots compare with other point-of-care tools

04:30 Lifting the hood into the processes they use to send the learner in the right direction

06:01 The continuous process of updating all the content

06:39 How they’re using the data gathered

09:40 User engagement and interaction with chatbots

12:23 The ecosystem: how they pull learners in, analyzing qualitative data and privacy

16:36 How learners find the chatbot

20:06 How they handle volumes of qualitative data

23:08 The future of the chatbot: Traditional AI vs Generative AI

29:11 Final thoughts: Leveraging AI for personalized learning in CME

32:20 Key takeaways from episode 116

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