Drafting messages, summarizing charts, managing appointments, and assessing eligibility are all tasks that large language models can streamline. However, integrating them safely and effectively—whether in small practices or large healthcare institutions—poses unique challenges.

In this interview, Drs. Dipti Itchhaporia and Marly van Assen explore key strategies and safeguards designed to reduce errors and enhance reliability in high-stakes environments like healthcare.

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