The EHR Training Gap: What New Clinicians Aren’t Learning

Saiyed says one key gap in education regards “the business and platforms” behind the screen.

“We teach residents to chart, but not to see the platforms that they’re charting into,” he says.

He points to revenue cycle, scheduling, referral management, analytics, population health and a variety of integrations.

“Future physicians need to see those ripples before they act, not after,” he explains.

Dr. Gabrielle Mayer, co-director of AI education at NYU Grossman School of Medicine’s Institute for Innovations in Medical Education and an internist, says the gap is managing the EHR under clinical time pressure.

“One thing you can’t improve until you get to residency is understanding how time interacts with your EHR use,” she says.

She explains that residents must learn to treat EHR use as a complement to the clinical examination rather than a separate, sequential task.

Ambient Listening AI Is Transforming Documentation Skill Sets

Saiyed calls ambient listening AI “the biggest shift in a generation,” explaining that physicians are shifting from entering notes to serving as their editor, auditor and final medical decision-maker.

“That means validating AI-generated narratives for accuracy, catching subtle bias or omissions, and preserving nuances AI can’t hear,” he says. “Typing speed and note templates are out; clinical judgment and AI oversight are in.”

Boggan adds that ambient AI shifts documentation training toward verification and accountability.

“Clinicians need to critically review the output, detect hallucinations, identify omitted findings and verify and edit it so that it is accurate,” he says.

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