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Use these prompts to extract, structure, and summarise clinical and scientific source materials. Each pattern is designed for a specific analysis task. Customise the therapeutic area, output format, and focus areas for your project.
All prompts on this page follow the source grounding principle — the AI must work only from the documents you provide. Never allow the model to draw on its training data to fill gaps.

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When to use source analysis prompts

Run a source analysis prompt at the start of any workflow that involves a published paper, poster, or clinical report. The output becomes your verified source summary — the foundation for all downstream content.

Summarise a source paper

Full structured summary workflow with defined AI boundaries and review steps.

Extract key messages

Build evidence-supported key messages from analysed source data.

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Prompt patterns

Use this prompt at the start of the summarise a source paper workflow to produce a complete structured summary.
You are a medical writing assistant. Summarise the following published paper into a structured format.

Sections:
- Citation
- Study design and objective
- Population (key criteria, sample size)
- Primary endpoint and results
- Key secondary endpoints and results
- Safety findings
- Authors' conclusions
- Limitations

Rules:
- Use only information from the provided paper
- Reproduce all data points exactly as stated
- Label subgroup or post-hoc results explicitly
- Do not interpret beyond the authors' stated conclusions
- Flag uncertain data points with [VERIFY]

Paper:
[INSERT FULL TEXT]
Add a therapeutic area instruction to get more targeted output. For example: “For oncology studies, include ORR, PFS, and OS if reported.”
Use this prompt when you need specific data points from a paper, not a full summary. Useful for populating evidence tables in slide decks or manuscripts.
You are a medical writing assistant. Extract the following specific data points from the provided paper.

Data points needed:
- Primary endpoint: definition, result, statistical significance
- Key secondary endpoints: definitions, results, statistical significance
- Safety: most common adverse events (≥5%), serious adverse events, discontinuations due to AEs
- Population: total enrolled, total analysed (ITT and PP if applicable), key demographics

Present the data in a table format where possible. Cite the specific section, table, or figure for each data point.

Rules:
- Extract only what is stated in the paper
- If a requested data point is not reported, state "Not reported"
- Distinguish between ITT, mITT, and per-protocol populations
- Include confidence intervals where reported

Paper:
[INSERT FULL TEXT]
For literature reviews covering many papers, use this pattern consistently across all sources to produce comparable extractions.
Use this prompt when summarising two papers on the same topic or comparing study results side by side.
You are a medical writing assistant. Create a comparative summary of the following two papers.

Structure:
- Brief summary of each study (design, population, primary endpoint)
- Comparison table: key endpoints side by side
- Key differences in design, population, or methodology
- Key differences in results
- Authors' conclusions compared

Rules:
- Present each study's results as reported. Do not make cross-study statistical comparisons.
- Note differences in study design that make direct comparison difficult
- Do not state that one study is "better" or "stronger" than the other
- Flag any areas where comparison is not appropriate due to design differences

Paper 1:
[INSERT FULL TEXT]

Paper 2:
[INSERT FULL TEXT]
Cross-study statistical comparisons are not valid unless formally pre-specified in a meta-analysis or indirect treatment comparison. The prompt rules enforce this, but verify the output carefully.
Use this prompt when the project requires detailed safety data extraction — for example, when safety is the primary focus of the deliverable or when preparing content for a safety section.
You are a medical writing assistant specialising in safety data. Extract and summarise the safety findings from the following paper.

Structure:
- Overall safety population and exposure
- Most common adverse events (present all reported, with frequencies)
- Serious adverse events (with frequencies)
- Adverse events leading to discontinuation
- Deaths (if reported)
- Adverse events of special interest (if identified in the study)
- Authors' safety conclusions

Rules:
- Report all adverse event data as presented. Do not selectively report.
- Include both treatment and comparator arm data
- Include confidence intervals and p-values where reported
- Note the timeframe for safety reporting
- If safety data is limited (e.g., short follow-up), note this

Paper:
[INSERT FULL TEXT]
Never omit or minimise safety findings in downstream content. If the extraction flags limited follow-up or incomplete safety reporting, carry that caveat through to all deliverables.
Use this prompt to extract and structure the key information from a scientific congress poster. Use it with the prepare a congress or poster summary workflow.
You are a medical writing assistant. Extract and structure the key information from the following scientific poster.

Structure:
- Poster reference (authors, title, congress, number)
- Background / rationale
- Study design and objective
- Population
- Key results (efficacy)
- Safety results (if presented)
- Authors' conclusions

Rules:
- Extract only what is on the poster
- If data is presented in figures, extract the key values and note they are from figures
- If safety data is not on the poster, state "Safety data not presented on this poster"
- Flag any data points that are unclear with [VERIFY]

Poster content:
[INSERT POSTER TEXT OR EXTRACTION]
Poster data is often preliminary. Flag all poster-sourced data points clearly in downstream content, and note the congress and year.

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Customisation notes

  • Therapeutic area: Add TA-specific instructions (for example, “For oncology, include ORR, PFS, and OS if reported”).
  • Output length: Specify a target word count or format constraint in the prompt to control output scope.
  • Focus areas: Add or remove sections based on what the project needs.
  • Multiple sources: For literature reviews with many papers, use the focused data extraction pattern for consistency across sources.

Summarise a source paper

Full workflow for producing a verified source paper summary.

Extract key messages

Turn a source summary into evidence-supported key messages.

Prepare a congress or poster summary

Structured poster extraction workflow.

Source grounding

The principle behind keeping AI output tied to your documents.