Advanced TipPhysical Therapist

Use AI to prepare for your first session with a new complex patient by generating a structured evaluation roadmap.

When you're assigned a new patient with multiple diagnoses, comorbidities, or a complicated history, your initial eval can feel overwhelming. You want to be thorough but efficient, cover all the right bases, and still build rapport. Use AI to prepare a personalized evaluation roadmap before the appointment. Give it the referral diagnosis, age, relevant medical history (no real patient names or identifiers), and your typical evaluation framework. Ask it to help you organize what to assess first, what questions to ask, what red flags to watch for, and what functional tests are most relevant. The AI can help you think through the session structure so you walk in confident and organized, not scrambling to remember everything mid-appointment. This is especially useful for diagnoses you see less frequently, post-surgical protocols you want to refresh on, or patients with cognitive or communication barriers where your approach needs to be adapted. You can also ask the AI to suggest how to sequence your eval to minimize patient fatigue or discomfort. Review and adjust the roadmap based on your clinical judgment and facility protocols. This prep work means your eval is more complete, your documentation is easier to write afterward, and your patient feels like they're in expert hands from minute one.

Try this prompt today

I have a new patient eval tomorrow: 68-year-old with total knee replacement 3 weeks post-op, also has diabetes, moderate obesity, and lives alone. I typically assess ROM, strength, gait, functional mobility, and pain. Help me create a structured evaluation roadmap for this first session: what should I assess first, what key questions should I ask about their home setup and goals, what red flags should I watch for given their comorbidities, and how should I sequence the exam to avoid fatiguing them too early? Also suggest 2-3 functional tests most relevant for this case.

March 4, 2026

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