Clinical Reasoning Education

T2DM A1c 10.2% — 55yo, Peripheral Neuropathy

Clinical reasoning simulation for healthcare students and educators

Endocrinology Urgent Medicine

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 55yo t2dm a1c 10.2% / peripheral neuropathy / pre-proliferative dr / moderate periodontitis / toe ulcer grade 2 wagner / bp 158/92 in a endocrinology context. Learners work through a structured 10-phase simulation covering initial differential, history-taking, physical examination, labs and imaging, and management planning.

"His toe ulcer has exposed tendon visible and he rates pain 2/10. He mentions his eye doctor found new retinal changes last month. His dentist has been treating his gum disease. He is asking which problem to address first. What does the 2/10 pain rating mean in the context of the exposed tendon — and what single intervention addresses the most organ systems?"

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 Medicine students and practicing clinicians seeking to sharpen diagnostic thinking in endocrinology.

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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.