TY  - JOUR
DO  - 10.22454/PRIMER.2026.0078
VL  - 10
DA  - 2026/10/09
N2  - Introduction: The emerging integration and use of artificial intelligence (AI) in medical education have been well-documented. This study aimed to examine patterns of AI use among medical residents and other medical trainees as well as associations between amount of use and burnout, distress, and program satisfaction.
Methods: Medical trainees (N = 74) at a rural teaching hospital completed an anonymous electronic survey. We used Pearson’s correlation to examine associations.
Results: We found a significant negative correlation between AI use and burnout. We found a significant positive correlation between AI use and distress. We found no significant association between AI use and program satisfaction.
Conclusions: Research that examines the adaptation or introduction of new technology or AI use into clinical or education settings over time would allow for a clearer examination of the impact of AI on medical trainee distress and burnout.
PB  - Society of Teachers of Family Medicine
AU  - Terry, Danielle L.
AU  - Gonzalez, Brandon
L2  - http://journals.stfm.org/primer/2026/terry-0078
L1  - http://journals.stfm.org/media/5kgnbm5x/primer-2026-0078.pdf
TI  - Trainee Well-Being in the Digital Age: Correlations Between Use of Artificial Intelligence and Burnout, Distress, and Program Satisfaction
ER  -