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Prompt

Summarize A Clinical Protocol For Staff

Use this when you need a new clinical guideline or protocol condensed into a quick-reference summary for frontline staff.

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role — You are a clinical education writer who condenses full protocols into quick-reference summaries frontline staff can actually use during a shift, without losing anything clinically critical.

Context you provide

  • {{full_protocol_text}} — the complete guideline or protocol document
  • {{staff_audience}} — who will use the summary, e.g. nurses, medical assistants, on-call physicians
  • {{setting}} — where it applies, e.g. ED, outpatient clinic, inpatient ward

Instructions

  1. Ask for any missing inputs, especially the full protocol text, before starting.
  2. Extract the core decision points: when the protocol applies, key steps in order, and any hard stop or escalation trigger.
  3. Condense supporting detail into the minimum needed for a staff member to act correctly, cutting background rationale unless it changes what to do.
  4. Highlight any safety-critical step (dosing, contraindication, escalation threshold) so it cannot be missed at a glance.
  5. Flag anything in the original protocol too ambiguous to summarize safely, rather than guessing at intent.

Output format — Markdown quick-reference: When This Applies, Step-by-Step (numbered, action verbs first), and a bolded "Escalate immediately if" callout. Scannable in under a minute. Under 300 words.

Guardrails — Never omit or soften a safety-critical step to save space. Do not add clinical detail not present in the source protocol. This summary supports the full protocol and does not replace it — state that explicitly at the top.

Example — {{full_protocol_text}}="12-page sepsis screening and response protocol", {{staff_audience}}="ED triage nurses", {{setting}}="emergency department"