While “artificial intelligence” (AI) has been around since the 1950s, it’s been only recently that it has become part of everyday life, including in health care. As AI technology evolves, there is a growing need for medical professionals to understand and effectively use it for better patient outcomes.
In this poster, Andrew Tran, MD explains how his study assessed the impact of innovative, tailored educational interventions on the perceptions, understanding, and willingness of health care professionals to adopt generative AI technologies in various medical specialties. Dr. Tran presented the study and its results in a poster at the 2025 ACGME Annual Educational Conference, held February 20-22, 2025, in Nashville, Tennessee.
Poster Title: Bridging the AI Gap in Health Care: An Innovative Approach to Educating Medical Professionals on Generative AI
Primary Author: Andrew Tran, MD
Co-Authors: Vasilii Khammad, MD; Joshua Ramsay; David Becton, MD; Feliciano Yu, MD; Joana Marie Mack, MD
ACGME: Tell us about your academic and professional role.
Dr. Tran: I am a pediatric hematology-oncology and clinical informatics fellow. My focus is on integrating clinical informatics with pediatrics to enhance patient care through data-driven interventions. My work bridges clinical practice, translational research, and health informatics, with an emphasis on improving health care outcomes through innovative technologies like artificial intelligence.
ACGME: Can you briefly describe your research project for us?
Tran: This project evaluated the impact of targeted educational interventions on health care professionals’ understanding and adoption of generative AI technologies. The interventions included a combination of engaging and interactive teaching methods, such as hand-drawn animated slides, icebreaker videos, specialty-specific use cases, and live AI demonstrations. These approaches were designed to make AI concepts more relatable and practical for health care professionals. The sessions were conducted in various settings, including grand rounds and professional conferences, with pre- and post-surveys measuring changes in AI literacy, comfort, and willingness to integrate AI into clinical, administrative, and research workflows.
ACGME: What inspired you to do this project?
Tran: With AI rapidly transforming health care, many clinicians lack formal training in its applications and limitations. As a clinical informatician, I recognized the urgent need for structured AI education to bridge this gap. This project stemmed from a desire to make AI tools more accessible and practical for health care professionals, ensuring safe and effective adoption in everyday work.
ACGME: What did you discover?
Tran: Our study showed that creative and interactive AI education significantly improves health care professionals’ confidence and understanding of generative AI. Comfort levels increased by 36.18 percent, and understanding improved by 54.94 percent. Additionally, willingness to use AI in clinical, research, and administrative tasks grew substantially, while skepticism decreased. These findings suggest that engaging educational approaches can successfully bridge the AI literacy gap in health care.
ACGME: What was the main takeaway?
Tran: Well-designed, relatable AI education can significantly improve health care professionals’ readiness to engage with AI technologies. Specialty-specific training, interactive demonstrations, and creative teaching methods make AI more accessible and encourage responsible adoption in all areas of practice.
ACGME: Who could benefit from this research?
Tran: Medical educators, hospital administrators, health care policymakers, and clinicians aiming to integrate AI into their practice could use the findings of this study. It has major implications for graduate medical education programs, emphasizing the need for structured AI training to prepare future health care professionals for an AI-driven future, as well as structured learning about technology and clinical informatics in the GME setting.
Learn more at a website Dr. Tran created to help medical professional understand AI: www.aipromptingclinic.com.