Use AI to review and strengthen your chronic disease management plans before patient visits.
Before your visit with a patient managing diabetes, hypertension, or another chronic condition, you can use AI to review your current treatment plan and spot potential gaps. This workflow helps you ensure you've considered guideline updates, medication interactions, lifestyle counseling opportunities, and preventive screenings you might have missed. It's like having a colleague quickly review your plan and ask, 'Did you think about this?' 1. Write out your current management plan in simple bullet points (diagnosis, current meds, recent labs, upcoming goals). Do NOT include patient names or identifiers. 2. Paste your plan into ChatGPT or Claude and ask it to review against current guidelines, flag missing elements, and suggest what to consider at the next visit. 3. Review the AI's suggestions carefully. Check any medication or guideline recommendations against your trusted clinical resources. 4. Use the output to create a quick checklist or talking points for your visit — things like 'discuss statin intensification,' 'order microalbumin,' or 'review foot care.' 5. Personalize the plan based on your clinical judgment and the patient's preferences, then document as usual. Remember: AI helps you think through possibilities, but you make the clinical decisions. Always verify recommendations with authoritative sources and never paste real patient data into a public AI tool.
Try this prompt today
“I'm a primary care physician preparing for a visit with a patient managing type 2 diabetes and hypertension. Here's my current plan: [metformin 1000mg BID, lisinopril 10mg daily, A1C 7.8%, BP averaging 138/88, LDL 115, last dilated eye exam 18 months ago]. Review this plan against current guidelines and suggest: 1) Any missing elements or screenings, 2) Medication optimization opportunities, 3) Lifestyle or preventive counseling topics I should address. Present your suggestions as a simple checklist I can review before the visit.”
March 16, 2026
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