Use AI to draft a respectful interdisciplinary referral or consult request that gets quick specialist attention.

When you need a specialist consult—physical therapy, social work, dietician, case management—writing a clear, detailed referral request helps the team respond faster and more effectively. But during a busy shift, it's easy to send a rushed message that leaves out critical context. AI can help you draft a structured, professional referral that communicates the patient's needs, your clinical observations, and why you're requesting support—without taking time away from bedside care. 1. Open ChatGPT or Claude and describe the referral scenario in simple terms: the specialty you're requesting, the patient's general situation (no real names or identifiers), and what you need help with. Example: "I need a physical therapy consult for a post-op patient who's weak and unsteady. I want to request evaluation for safe mobility and discharge planning." 2. Ask AI to draft a professional referral message that includes reason for consult, relevant clinical observations, functional status, and specific questions or goals. Paste your scenario and add: "Draft a referral request that's clear, respectful, and helps the specialist understand urgency and patient needs." 3. Review the draft. Check that tone is collaborative, not commanding. Make sure it highlights patient-centered goals and provides enough context for the specialist to prioritize appropriately. Edit any parts that feel generic or don't match your patient's real situation. 4. Ask AI to adjust the draft if needed—maybe you want it shorter, more urgent, or focused on a specific outcome. Example: "Make this more concise and emphasize fall risk and discharge barriers." 5. Copy the revised draft into your hospital's referral system or communication platform, personalize with actual patient details (never entered into AI), and send. Always verify clinical accuracy and appropriateness before submitting. This workflow helps you write referrals that get faster responses, improve team collaboration, and ensure patients get the right care at the right time—without the documentation burden slowing you down.

March 15, 2026