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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.

Review date
Feb 2026
Reading time
11 min read
Author
Dr. Kola Tytler MBBS CertHE MBA MSt MRCGP
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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.

Key points

  • 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.
1

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?”
2

Step 2 — Pull the decision points

You’re hunting thresholds, contraindications, escalation criteria, and monitoring requirements — the things that change what you do next.
3

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.
4

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.
5

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.
  • Every session must output prompts (minimum 6).
  • Always include: one threshold, one contraindication, one escalation trigger.
  • Verify at least one plan-changing point per session.
  • Convert one decision point into a 3-line vignette (trigger → decision → action).
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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  • 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?”

    Return to this section

  • You’re hunting thresholds, contraindications, escalation criteria, and monitoring requirements — the things that change what you do next.

    Return to this section

  • 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.

    Return to this section

  • 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.

    Return to this section

  • 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.

    Return to this section
  • Return to this section
  • Return to this section
  • Return to this section
  • Return to this section

Study methods · Article 41 of 48