The AI in Clinical Practice Series
A series on using AI in clinical work carefully — what it helps with, where it quietly goes wrong, and why reading what it hands you is still clinical judgment. Not anti-AI. The honest middle, from someone doing the work.
What this series is
AI is showing up in clinical work — drafting notes, transcribing sessions, suggesting treatment-plan language, shaping the materials clinicians hand to clients. This series is about the judgment that work still requires, and why that judgment doesn't go away as the tools get better.
It's built as an arc. The Foundation posts come first — they establish why AI output always carries a standpoint, and why that's structural rather than a flaw waiting to be patched. Later phases build on that foundation. New posts publish on the 1st and 15th of each month.
Foundation
AI Can Draft It. Reading It Is Still Clinical Work.
AI can draft a lot of things now — but reading what it hands you is still clinical work, and that work is where the judgment lives. The post that introduces the whole series.
Read the first post →Capability Isn't the Problem
AI keeps getting better — but better at what? Capability and standpoint are two different axes, and the improvement everyone points to isn't on the one the clinical work happens on.
Coming July 1The Output That Feels Right
The AI output hardest to catch isn't the one that looks wrong. It's the one that feels right — that matches what you already believed. The catch has to fire on agreement, not just on friction.
Coming July 15