AI for Patient Communication

What you’ll explore

• Explain where the communication gap comes from, apply the rule that AI drafts and the clinician verifies, and protect patient privacy by using only de-identified or fictional detail in tools their organisation has approved
• Draft patient education materials with AI using the four plain-language habits, and adapt them to a target reading level of about Year 6 to Year 8 without changing any clinical fact
• Produce language- and culturally-adapted patient communications with AI, and identify who must check each adaptation, including interpreters and Aboriginal Health Workers where relevant
• Create after-visit summaries and medication and follow-up instructions with AI that separate what to do from when to worry, state concrete warning signs, and rest on doses and thresholds verified with the treating clinician
• Build a repeatable AI workflow for common patient communication tasks — personalised chronic disease resources, appointment reminders, evidence-based FAQs — with verification, template reuse and peer review built in

Who it’s for

Clinicians and nurses communicating directly with patients Allied health professionals producing patient education materials Patient services and health literacy coordinators