Use AI to review your clinical documentation for unintended bias or language that might undermine patient trust.

The words we use in clinical notes, letters, and summaries can unintentionally communicate judgment, bias, or assumptions that damage therapeutic relationships or affect downstream care. Ask AI to review your drafted documentation specifically for stigmatizing language, unexamined assumptions, or phrasing that might be perceived differently by patients who request their records. This is especially valuable for notes involving substance use, mental health, weight, medication adherence, or social complexity. Provide AI with your draft text and ask it to flag language that could be perceived as judgmental, identify where you've made assumptions without evidence, and suggest neutral alternatives. This creates a bias-check layer before your note enters the permanent record. You might be surprised what phrases you've normalized that patients experience very differently. Always review AI suggestions critically—context matters, and only you know the full clinical picture. This isn't about sanitizing honest documentation; it's about catching blind spots and choosing language that maintains trust while staying accurate. Never paste actual patient notes—use this technique on templates, teaching examples, or fictional scenarios you create for practice.

March 6, 2026