Clinical Reasoning Education

Kevin Torres — Chronic LBP, Oxycodone 30mg/day, ORT Score 8, Requesting Dose Increase

Clinical reasoning simulation for healthcare students and educators

Musculoskeletal Intermediate Pharmacy

Practice This Case

Work through the full clinical encounter with AI patient and attending. Free, no signup required.

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About This Case

This clinical reasoning case presents a patient with kevin torres / chronic lbp / oxycodone 30mg/day / ort score 8 / requesting dose increase in a musculoskeletal context. Learners work through a structured 10-phase simulation covering initial differential, history-taking, physical examination, labs and imaging, and management planning.

"Kevin's Opioid Risk Tool score is 8 (high risk). He has been on oxycodone for 9 months with no functional improvement. He is requesting a dose increase. Using the pharmacological evidence — explain why escalating opioids in this scenario may cause opioid-induced hyperalgesia, and design a realistic 3-month multimodal analgesic taper plan with specific alternatives at each step."

How the Simulation Works

  1. Read the patient presentation and form your initial differential diagnosis
  2. Interview the AI patient to gather history and explore your hypotheses
  3. Perform a focused physical examination based on your differential
  4. Order appropriate labs and imaging, then interpret the results
  5. Revise your diagnosis and develop a management plan
  6. Receive personalized teaching feedback from your AI attending, Dr. Patel

What You'll Learn

This case builds skills in systematic clinical reasoning, hypothesis-driven history-taking, appropriate test ordering, and evidence-based management. It is designed for Pharmacy students and practicing clinicians seeking to sharpen diagnostic thinking in musculoskeletal.

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About ReasonDx

ReasonDx is an AI-powered clinical reasoning education platform developed by Dr. Lauren Fine, MD, FAAAAI, Associate Professor and Assistant Dean of Clinical Skills Education at NSU Dr. Kiran C. Patel College of Allopathic Medicine. The platform features 394 simulation cases across 10 health professions, designed to train the cognitive processes underlying accurate diagnosis.