DynaMed is designed to deliver actionable answers at the bedside. Your revision wins when you translate those actions into fast retrieval: criteria, first-line steps, exceptions, and ‘what changes the plan’. This protocol is deliberately short — it forces output.
The ‘bedside constraint’ is a feature
Because point-of-care tools prioritise what matters, they often highlight decision points cleanly. That makes them perfect for building prompts and checklists — as long as you actively test yourself rather than re-scan the page.
The Bottom Line
- Time-box to 12 minutes to avoid turning revision into browsing.
- Extract: definition/diagnosis, severity, first-line, second-line, red flags, monitoring.
- Immediate closed-book retest + spaced re-hits (2/7/14 days).
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Step 1 — Pick a ‘decision theme’ (not a disease)
Examples: ‘CAP severity + admission’, ‘AF anticoagulation thresholds’, ‘hyperkalaemia: immediate management’, ‘PE risk stratification’.
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Step 2 — Build the Decision Grid (3 minutes)
Write 6 headings: Dx criteria, severity/risk, first-line, second-line, red flags, monitoring/follow-up. You are about to populate this grid with prompts.
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Step 3 — Convert grid cells into prompts (6 minutes)
Each grid cell becomes 1–2 prompts. Example: “What feature changes severity category?”, “What is first-line and what is the contraindication?”, “What monitoring interval is expected?”.
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Step 4 — Closed-book sprint test (2 minutes)
Answer every prompt from memory, fast. Mark Green/Amber/Red. Only Amber/Red enter your spaced loop.
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Step 5 — Spaced loop + one ‘trap’ prompt (1 minute)
Add one prompt specifically for a trap you personally fall into (e.g., confusing drug choice, missing a red flag, wrong threshold). These are disproportionately high yield.
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Practice
Test your knowledge
Apply this concept immediately with a high-yield question block from the iatroX Q-Bank.
SourceDynaMed — Official overview (EBSCO)
Open Link SourceDynaMed — About (site)
Open Link SourceKarpicke & Roediger (2008): Students underestimate retrieval (PubMed)
Open Link SourceCepeda et al. (2006): Distributed practice meta-analysis (PubMed)
Open Link