Clinical Reasoning Education

James Okoye — Left MCA Stroke Day 5, Right Hemiplegia 2/5, Brunnstrom Stage II

Clinical reasoning simulation for healthcare students and educators

Neurology Intermediate Physical Therapy

Practice This Case

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

▶ Start Simulation

About This Case

This clinical reasoning case presents a patient with james okoye / left mca stroke day 5 / right hemiplegia 2/5 / brunnstrom stage ii in a neurology context. Learners work through a structured 10-phase simulation covering initial differential, history-taking, physical examination, labs and imaging, and management planning.

"James is day 5 post-stroke. Right upper extremity 2/5, right lower 3/5. Brunnstrom stage II. He is in acute rehab. His wife asks: will he walk again? Using the neuroplasticity evidence — what intensity and task specificity does this week's PT need to look like to maximize his recovery window?"

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 Physical Therapy students and practicing clinicians seeking to sharpen diagnostic thinking in neurology.

Related Cases in Neurology

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.