Generative artificial intelligence in graduate medical education

Area of Science:

• Medical Education Technology
• Artificial Intelligence in Healthcare
• Graduate Medical Education (GME)

Background:

• Generative artificial intelligence (GenAI) is increasingly impacting diverse fields, including healthcare and education.
• Graduate Medical Education (GME) is exploring the integration of novel technologies to enhance training and practice.

Purpose of the Study:

• To explore the potential opportunities and risks associated with implementing GenAI in GME.
• To provide a commentary on the impact of GenAI on key areas within GME.

Main Methods:

• Literature review of existing research on GenAI in healthcare and education.
• Analysis and discussion of identified opportunities and risks relevant to GME.

Main Results:

• Key opportunities include EHR workload reduction, clinical simulation, individualized education, research support, and clinical decision support.
• Significant risks involve AI inaccuracy, overreliance, academic integrity challenges, potential biases, and privacy concerns.

Conclusions:

• GenAI presents a transformative potential for the future of GME.
• Successful integration requires a comprehensive understanding of GenAI's benefits and limitations to mitigate risks.