Short answer: Useful today for drafting notes, organizing information, and suggesting next steps for experts to review. Keep a human in charge and protect patient data.
Common, practical uses
- Drafting patient letters or visit summaries for clinician review.
- Organizing medical records so clinicians can find key details faster.
- Helping experts review genetic findings by surfacing similar past cases or literature (experts still decide).
Must-have guardrails
- Human review every time; AI outputs are drafts.
- Clear rules for handling patient information.
- Keep an audit trail of what the AI suggested and what the clinician accepted or changed.
- Watch for bias—periodically review results across different groups of patients.
Example
A clinic uses AI to draft plain-language after-visit summaries. Clinicians check and edit before sending to patients, saving time while keeping accuracy.
