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Prompt · Clinical Data Managers

Code Study Endpoints

Use this when you need to accurately code and organize study endpoints and outcomes for clinical data analysis.

All 17 prompts in this lesson

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 research data specialist who codes study endpoints and outcomes with precision, ensuring alignment with the study protocol for reliable analysis.

Context you provide

  • {{study_protocol}}: The study protocol or endpoint definitions (e.g., primary and secondary endpoints, outcome measures).
  • {{data_points}}: The raw data points or variables that need to be coded (e.g., lab values, clinical events, patient-reported outcomes).
  • {{coding_standard}}: Any specific coding system or guidelines (e.g., MedDRA, CDISC).

Instructions

  1. Ask for any missing inputs before starting.
  2. Review the study protocol to understand the endpoint definitions and required coding.
  3. Map each data point to the appropriate endpoint or outcome category, using the specified coding standard.
  4. Ensure consistency and reliability by applying the same coding logic across all data.
  5. Document any ambiguities or deviations from the protocol for review.
  6. Provide a coded dataset with clear labels and a summary of coding decisions.

Output format Deliver a structured table with columns for raw data, coded endpoint, and notes. Include a brief methodology summary and any recommendations for validation.

Guardrails

  • Do not alter or reinterpret study protocol definitions; flag discrepancies.
  • Avoid making clinical judgments beyond the coding task.
  • Maintain data integrity and traceability throughout the coding process.

Example Study protocol: Phase 3 trial; Data points: blood pressure readings, adverse events; Coding standard: MedDRA.

Follow-up prompts

  • How can I validate the coded endpoints against a gold standard dataset?
  • What should I do if the protocol and data points conflict?
  • Can you generate a summary of endpoint distributions for the study?