Field notes
On continuity, care, and clinical AI
Notes for clinical leaders on holding continuity across a caseload, the cost of documentation, and bringing AI into a practice responsibly.
When Continuity of Care Outgrows One Clinician's Memory
At small scale, continuity of care holds together because one clinician remembers everything. As a practice grows, that memory becomes a single point of failure. It is a systems problem, not a willpower one.
Read →The Hidden Cost of Clinical Documentation
After-session notes are a real operational cost: to clinician presence, to continuity, and to the time a practice can give to care. Here is how to treat that cost as a leadership problem, and what capture-with-consent is designed to give back.
Read →AI in Behavioral Health, Honestly: Where It Supports, and Where the Clinician Stays
A measured look at what AI can support in a behavioral-health practice today, what it cannot, and the line that should not move: the clinician holds all clinical judgment, and nothing client-facing belongs to the machine.
Read →Evaluating AI for a Behavioral-Health Practice: The Questions to Ask Before You Sign
Most AI tools look alike in a 45-minute demo. The differences that decide a behavioral-health deal — consent, where data lives, whether it ever speaks to the client — surface later. Here is the evaluation guide that brings them forward first.
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