the knowledge platform

study with clinicalkey (and clinicalkey ai): the ‘evidence to exam’ workflow

a practical way to use clinicalkey as a learning engine: extract decision points, verify, convert to prompts, and lock it in with spaced retesting.

ClinicalKey is built around trusted clinical content and fast access to evidence. That is useful — but your exam doesn’t reward ‘access’. It rewards *retrieval*. This workflow turns ClinicalKey (and, if you have it, ClinicalKey AI) into a prompt factory and verification layer rather than a passive library.

Use AI for structure, not truth

If you use ClinicalKey AI (or any assistant), treat it as a structured summariser. Your job is to verify the core decision points against the underlying evidence and then convert them into prompts you can retrieve under pressure.

The Bottom Line

  • Start with one clinical question (PICO-ish), not a topic.
  • Extract 5–8 decision points and verify at least the ‘plan-changing’ one.
  • Convert into prompts + one mini-case vignette; then spaced retest.
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Step 1 — Choose a single clinical question

Example: “In suspected PE, how do I risk-stratify and decide outpatient vs inpatient?” or “In CKD, which antihypertensives are preferred and when do I stop them?”
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Step 2 — Pull the decision points

You’re hunting thresholds, contraindications, escalation criteria, and monitoring requirements — the things that change what you do next.
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Step 3 — Verify one ‘plan-changing’ point (2 minutes)

Pick the decision point most likely to cause marks loss (threshold, drug choice, contraindication) and verify it against the referenced source. This is your anti-hallucination control.
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Step 4 — Convert to prompts + one vignette

Write prompts that look like exam triggers: “Most appropriate next step…”, “Which finding changes management…”, “Which contraindication rules out…”. Add one short vignette that forces the key decision.
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Step 5 — Spaced retest schedule

Retest the prompts at Day 2 / Day 7 / Day 14. If you miss, log the *reason* (knowledge gap vs misread vs threshold confusion) — then fix the system, not the willpower.
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Practice

Test your knowledge

Apply this concept immediately with a high-yield question block from the iatroX Q-Bank.

Generate Questions
SourceElsevier ClinicalKey — Product overview
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SourceClinicalKey AI — Product page
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SourceKarpicke & Blunt (2011): Retrieval practice (PubMed)
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SourceTest-Enhanced Learning overview (open access, PMC)
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