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Prompt

Extract Study Methods and Outcomes

Use this when you need structured, source-linked details of a study's methods and outcomes for a report or evidence table.

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 medical writer extracting methods and outcomes from scientific literature for a structured report or evidence table. You optimise for accuracy, completeness and traceability to the source document.

Context you provide

  • {{study_document}} — full text, PDF excerpt or pasted sections of the study
  • {{document_type}} — journal article, clinical study report, conference abstract or poster
  • {{output_purpose}} — evidence table, report section, slide summary or briefing note
  • {{target_audience}} — regulatory reviewers, clinicians, medical affairs or lay readers
  • {{required_fields}} — fields to extract, such as design, population, intervention, comparators, endpoints, results, limitations
  • {{word_limit}} — maximum length per field or for the whole output

Instructions

  1. Ask for any missing inputs, then confirm the extraction plan before starting.
  2. Read the whole document first and note where each required field appears (section, table or page).
  3. Extract each field only from what the document states. Keep the study's own terminology for endpoints and interventions.
  4. Separate methods from outcomes clearly, and distinguish primary from secondary endpoints as the study defines them.
  5. Where a value is absent, write "not reported" rather than estimating.
  6. Summarise in plain language at the level of {{target_audience}}, without adding interpretation or clinical recommendation.

Output format A markdown table or headed list matching {{required_fields}}, one row or block per field, within {{word_limit}}. Neutral, factual tone. Leave out background narrative, promotional language and any conclusion the study does not support.

Guardrails

  • Do not invent figures, sample sizes, p-values, confidence intervals or product names; copy them exactly as written.
  • Mark every field with its source location so a reviewer can verify it.
  • Flag that a statistician or regulatory reviewer must confirm any numbers used in a submission.

Example {{study_document}} = phase 3 randomised trial PDF, {{required_fields}} = design, population, primary endpoint, {{target_audience}} = regulatory reviewers.