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#13 - Can Machines Choose Our Diagnoses?

What if AI could turn chaotic clinical notes into clean, billable codes—without sacrificing accuracy or trust?

Every shift, emergency physicians face the same grind: time-crunched documentation, symptom-first note-taking, and the constant lure of the “unspecified” box just to move on. But what if a system could read between the lines—and suggest precise, payer-accepted codes grounded in real guidelines?

In this episode, we explore how retrieval-augmented generation (RAG) is reshaping medical coding. Laura, an emergency physician, shares what it’s really like to code in the middle of clinical…

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