Clinical Differential Diagnosis Assistant

An AI-powered clinical decision support tool that generates comprehensive, ranked differential diagnoses from patient symptoms, physical examination findings, laboratory results, and medical history. The skill applies Bayesian reasoning principles and pattern recognition across organ systems, prioritizing diagnoses by probability and clinical urgency while referencing current medical literature and diagnostic criteria.

Quick Install

npx skills add Open-Medica/open-medical-skills --skill clinical-differential-diagnosis

What It Does

• Symptom-driven differential generation: Accepts chief complaint, associated symptoms, temporal patterns, and pertinent negatives to produce a prioritized differential list ranked by pre-test probability
• Multi-system integration: Correlates findings across organ systems (e.g., linking joint pain, malar rash, and proteinuria to systemic lupus erythematosus) rather than analyzing each symptom in isolation
• Red flag identification: Highlights emergent and life-threatening diagnoses that require immediate evaluation or intervention, even when they are lower probability, to prevent missed critical diagnoses
• Diagnostic workup suggestions: For each differential diagnosis, recommends the most informative next diagnostic steps (labs, imaging, procedures) with sensitivity/specificity data where available
• Iterative refinement: Accepts new data (lab results, imaging findings) and dynamically reranks the differential as evidence accumulates

Clinical Use Cases