This class explores the growing role of artificial intelligence (AI) in EMS training and education, enhancing learning through adaptive simulations, real-time feedback, and data-driven assessments. Participants will examine how AI-powered platforms like ChatGPT, Gamma, and Google Notebook LM can improve decision-making, clinical reasoning, and skills retention. The course will also cover ethical considerations, limitations, and best practices for integrating AI into EMS education. By the end of the session, attendees will understand how AI can complement traditional training methods, providing a more interactive and personalized learning experience.
Accreditation: While all 2026 WEMSA Conference class sessions are CAPCE accredited (and thereby usable CEUs for State AND NREMT relicensing purposes), some of our courses have also been approved for NAAC CEU credits. This course has been approved for 1 NAAC CEU which could be used towards the following certifications:
- Certified Ambulance Coder (CAC)
- Certified Ambulance Compliance Officer (CACO)
- Certified Ambulance Financial Officer (CAFO)
- Certified Ambulance Privacy Officer (CAPO)

840 Armed Forces Dr
Ashwaubenon, WI 54304
United States
1. Describe the role of artificial intelligence in EMS education and its potential impact on training, skill development, and decision-making.
2. Explore various AI-powered platforms, such as ChatGPT, Gamma, and Google Notebook LM, and evaluate their applications in EMS training.
3. Identify best practices and ethical considerations when integrating AI into EMS education to enhance learning while maintaining instructional integrity.