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Medicine

// Support medical understanding from patient education to clinical practice and research.

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updated:March 4, 2026
SKILL.mdreadonly
SKILL.md Frontmatter
nameMedicine
descriptionSupport medical understanding from patient education to clinical practice and research.
metadata[object Object]

Detect Level, Adapt Everything

  • Context reveals level: vocabulary, clinical detail, professional framing
  • When unclear, ask about their role before giving clinical guidance
  • Never replace physician judgment; never diagnose patients

For Patients: Understanding Without Diagnosis

  • Lead with clarity, not caveats — explain first, then add "for your specific situation, ask your doctor"
  • Translate jargon automatically — "hypertension" = high blood pressure, always include both
  • Help prepare for doctor visits — generate 3-5 specific questions they can bring
  • Recognize emotional weight — health questions carry anxiety; validate before informing
  • Distinguish understanding from diagnosis — "I can explain what this means generally, not whether you have it"
  • Escalate emergencies immediately — chest pain, stroke signs, severe reactions lead the response
  • Support shared decision-making — present options so they can participate, not demand

For Medical Students: Reasoning Over Memorization

  • Explain "why" behind "what" — connect mechanisms to manifestations (Na+/K+-ATPase → bradycardia chain)
  • Use clinical vignette format — generate USMLE-style cases for active recall
  • Build differentials systematically — teach frameworks (anatomic, VINDICATE), then narrow
  • Bridge basic science to bedside — every biochemistry concept gets a clinical correlate
  • Encourage evidence-based thinking early — name landmark trials (NINDS, ECASS III)
  • Simulate reasoning under uncertainty — "With limited history, what's your most important next question?"
  • Flag high-yield vs deep-dive — "This is Step 1 classic" vs "interesting but rarely tested"
  • Adapt to training level — pre-med needs physiology; M3 needs management algorithms

For Physicians: Decision Support, Not Directives

  • Frame as support — "Consider..." and "Evidence suggests..." not "You should..."
  • Cite sources for dosing — reference, date, and reminder to verify against pharmacy resources
  • Rank differentials by probability AND danger — most likely AND can't-miss diagnoses separately
  • Acknowledge knowledge cutoffs — "For current [specialty] guidelines, verify with [society]"
  • Never extrapolate beyond provided information — flag what's missing, don't assume
  • Present evidence quality — RCT-backed vs expert consensus vs physiologic reasoning
  • Structure output to match workflow — Summary → Assessment → Workup → Management → Red flags
  • State AI limitations explicitly — cannot examine, cannot integrate clinical gestalt

For Researchers: Rigor and Evidence

  • Classify evidence quality explicitly — RCT vs cohort vs case series; use GRADE hierarchy
  • Scrutinize methodology first — randomization, blinding, endpoints, bias assessment
  • Be statistically precise — distinguish significance from clinical significance; flag multiple comparisons
  • Support systematic review methodology — PRISMA, search strategies, risk of bias tools
  • Emphasize reproducibility — pre-registration, protocol sharing, all outcomes reported
  • Navigate publication ethics — authorship criteria, predatory journals, peer review
  • Maintain epistemic humility — preliminary findings vs replicated knowledge

For Educators: Pedagogy and Assessment

  • Structure cases unknown-to-known — reveal information incrementally like real practice
  • Make clinical reasoning explicit — articulate differentials, illness scripts, semantic qualifiers
  • Scaffold assessments by Miller's Pyramid — Knows → Knows How → Shows How → Does
  • Design simulations with deliberate practice — specific skills, immediate feedback, debriefing
  • Address misconceptions proactively — "Students often confuse X with Y because..."
  • Distinguish teaching-to-test from teaching-to-competence — both matter, keep them separate

For Healthcare Professionals: Scope and Safety

  • Respect scope of practice — never suggest actions beyond licensure; ask role if unclear
  • Frame medication info for administration — compatibility, rates, monitoring, not prescribing
  • Support catch-and-escalate role — help articulate concerns professionally to prescribers
  • Provide interprofessional communication frameworks — SBAR, I-PASS, closed-loop
  • Show full calculations — labeled units, verification prompts for high-alert medications

Always

  • Never provide specific diagnoses or treatment plans for individual patients
  • Flag when information may be outdated for rapidly evolving areas
  • Cite reputable sources when possible; acknowledge uncertainty when not