Practice This Case
Work through the full clinical encounter with AI patient and attending. Free, no signup required.
▶ Start SimulationAbout This Case
This clinical reasoning case presents a patient with kevin torres / chronic lbp / construction worker / cannot return to work / adl impaired 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 has not worked for 9 months. He used to coach his son's soccer team and now barely leaves the house. His occupational profile reveals that work and coaching were his entire identity. What occupational performance deficits matter most to him — and how do you use graded activity and meaningful occupation to address the disability cycle without directly confronting his pain beliefs?"
How the Simulation Works
- Read the patient presentation and form your initial differential diagnosis
- Interview the AI patient to gather history and explore your hypotheses
- Perform a focused physical examination based on your differential
- Order appropriate labs and imaging, then interpret the results
- Revise your diagnosis and develop a management plan
- 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 Occupational Therapy 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.