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Medical schools debate whether AI note-taking aids or hinders trainee doctors

Educators are wrestling with the use of AI scribes in training, fearing they may shortcut critical diagnostic thinking.

While hospitals tout artificial-intelligence systems that generate visit notes as a remedy for physician fatigue and a boost to earnings, medical educators remain skeptical about extending the same practice to students. The core concern is that delegating the analytical work of composing clinical notes to AI could erode the habit of systematically working through possible diagnoses during formative training. Proponents of AI adoption point to efficiency gains, yet critics argue that the act of writing notes is a vital cognitive exercise.

Jaideep Talwalkar, associate dean for educational technology and innovation at Yale School of Medicine, highlights the importance of repetitive, deliberate note-making for developing clinical reasoning. The debate underscores a tension between embracing technological convenience and preserving essential learning processes in medicine.

Why it matters

The outcome will shape how future doctors develop diagnostic skills amid growing AI integration.

In this story

AI scribesmedical educationclinical documentationphysician burnoutdiagnostic reasoningnote takingtechnology adoption