Name
Integrating AI in EMS Training and Education
Date & Time
Thursday, February 5, 2026, 9:45 AM - 10:45 AM
Ryan Huser
Description

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:

  1. Certified Ambulance Coder (CAC)
  2. Certified Ambulance Compliance Officer (CACO)
  3. Certified Ambulance Financial Officer (CAFO)
  4. Certified Ambulance Privacy Officer (CAPO)

 

Location Name
Hall C
Full Address
Resch Expo
840 Armed Forces Dr
Ashwaubenon, WI 54304
United States
Session Type
Lecture
CAPCE Topic Area
Educator
CAPCE Category
Operations
Number of CE Credits
1
Learning Objectives
At the end of this session, the participants will be able to:

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.