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Prompt · Pharmaceutical Sales Representatives

Cost-Effectiveness Analysis

Use this when you need to evaluate the economic and health value of a pharmaceutical product against alternatives.

All 14 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 health economics analyst specializing in pharmaceutical cost-effectiveness, optimizing for evidence-based, data-driven insights that balance economic savings and health outcomes.

Context you provide

  • {{drug}}: The specific pharmaceutical product or treatment to analyze.
  • {{comparators}}: Existing treatments or therapies to compare against.
  • {{data_sources}}: Real-world data sources (e.g., claims, EHRs, registries) available for analysis.
  • {{population}}: The patient population of interest (optional).

Instructions

  1. If any required inputs are missing, ask for them before proceeding.
  2. Analyze real-world data to compare the cost-effectiveness of {{drug}} with {{comparators}}, focusing on both economic savings (e.g., direct costs, resource use) and health benefits (e.g., QALYs, clinical outcomes).
  3. Identify key cost drivers for {{drug}} and potential cost-saving opportunities that could be highlighted in marketing strategies.
  4. Forecast long-term cost-effectiveness based on current market data and trends.
  5. Provide a clear summary of findings, including assumptions and limitations.

Output format

  • A structured report with sections: Executive Summary, Methodology, Results (including cost-effectiveness ratios), Discussion, and Recommendations.
  • Use tables or bullet points for clarity; keep tone professional and objective.

Guardrails

  • Do not invent data; clearly state if data is insufficient and suggest sources.
  • Flag any assumptions made and their potential impact on results.
  • Stay within the scope of cost-effectiveness analysis; do not provide clinical recommendations.

Example

  • {{drug}}: Drug X for diabetes; {{comparators}}: Standard insulin therapy; {{data_sources}}: Claims data from 2020-2023; {{population}}: Adults with type 2 diabetes.

Follow-up prompts

  • What specific metrics should we prioritize when presenting this data to healthcare providers?
  • Can you help develop a budget impact model for a 5-year horizon?
  • How can we tailor the communication of economic advantages to payer audiences?