Use AI to review your drafted patient discharge summary before sharing it with the next provider.

Before you send that discharge summary to a physician, home health agency, or another provider, have AI review it for completeness and clarity. This helps you catch missing information, vague language, or clinical gaps that could delay the patient's next step in care. It's like having a second set of eyes before the document leaves your desk. 1. Write your discharge summary draft as you normally would — include diagnosis, treatment provided, functional outcomes, and recommendations. Don't include real patient names or identifiers if using AI. 2. Paste your draft into ChatGPT or Claude and ask it to review for completeness. Ask it to flag any missing information a receiving provider would need, like baseline function, specific interventions used, or discharge status. 3. Ask AI to identify any vague or unclear language. For example, phrases like 'patient improved' or 'tolerated well' might need quantifiable detail. 4. Request a rewrite suggestion for any flagged sections. AI can help you turn vague statements into specific, measurable outcomes. 5. Review AI's feedback and decide what to incorporate. You're the clinician — use your judgment to keep what strengthens the summary and ignore what doesn't fit. 6. Finalize your summary, add back any real patient information, and send it with confidence knowing you've caught potential gaps before anyone else sees it. Remember: Never paste real patient names, dates of birth, or identifiers into AI. Use placeholders like 'Patient' or 'PT' and add the real information back after your review. Always verify AI suggestions align with your clinical documentation standards before using them.

March 16, 2026