This post explains why small behavioral-health practices need practical, judgment-centered guidance on AI rather than tool lists or marketing claims. Drawing on operational experience, it outlines the gap between vendor promises and real workflows, the five content categories of the site, and the editorial rules that keep human review and documentation non-negotiable.
This article helps small behavioral-health practices distinguish tool questions from judgment calls when considering AI, and shows how to keep the judgment visible even after a tool is selected.
This article outlines five practical signs that an AI use case in a small behavioral-health practice is still too vague to approve, helping teams insist on clarity before any pilot begins.
This article explains why a vendor's claim of HIPAA compliance is not a substitute for a small behavioral-health practice's own decision about AI use, data boundaries, review ownership, and residual risk.