Use AI to batch-draft personalized lab result follow-up messages faster than writing them individually each time.

Instead of writing individual messages to patients about their lab results from scratch each time, you can use AI to generate multiple personalized drafts in one session. Give the AI a simple list of patient scenarios (no real names or identifying data—just clinical patterns like 'Patient A: HbA1c 6.8, improved from 7.2' or 'Patient B: TSH 8.5, needs medication adjustment'), and ask it to draft appropriate follow-up messages for each. You'll get consistent, clear messages that you can review, personalize with actual patient details in your EHR, and send. This approach cuts a weekly 90-minute task down to 20 minutes. The key is batching similar result types together—all diabetes labs in one request, all thyroid results in another. AI maintains the same professional, reassuring tone across all drafts while customizing the clinical content for each scenario. You still review every message and add the human touch, but you're not staring at a blank screen 15 times. Remember: never paste real patient data into ChatGPT or Claude. Use placeholder scenarios, then transfer the polished language into your secure system with actual patient information.

Try this prompt today

I need to send follow-up messages to patients about their lab results. I'll describe each scenario without using real names. For each one, draft a clear, reassuring patient portal message that explains the result, what it means, and next steps. Keep each message under 150 words and at an 8th grade reading level. Scenario 1: HbA1c improved from 7.2 to 6.8 over 3 months, patient is doing well with metformin and lifestyle changes, continue current plan, recheck in 3 months. Scenario 2: TSH elevated at 8.5, patient has fatigue symptoms, needs to start levothyroxine 50mcg daily, recheck labs in 6 weeks. Scenario 3: Lipid panel shows LDL 145, patient declined statin previously, recommend scheduling visit to discuss diet changes and reconsider medication. Scenario 4: Vitamin D level is 18, patient needs to start 2000 IU daily supplement, no visit needed, recheck in 3 months.

March 17, 2026

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