Event

Apply prompt engineering to enhance HEOR workflows

This course introduces prompt engineering as a critical skill for health economists and outcomes researchers. It focuses on designing effective inputs for generative AI to improve productivity, accuracy, and innovation in HEOR applications.

Technical topics include:

• Core principles of prompt engineering
• Strategies for interacting with large language models (LLMs)
• Best practices for accuracy, consistency, and reliability
• Common pitfalls and limitations in high-stakes environments

This course includes tools and concepts that can be immediately applied, including:

• Hands-on prompt techniques for systematic literature reviews (SLRs)
• Applications in economic modeling and real-world evidence generation
• Practical examples tailored to HEOR use cases
• Guidance for using prompt engineering in regulated settings

Participants will gain the knowledge and skills to confidently apply prompt engineering techniques to improve efficiency and quality in HEOR research.

PREREQUISITE: Basic knowledge of systematic literature reviews and economic modeling will be helpful. No prior knowledge or use of AI is required.

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*Conference attendance is not required to attend an ISPOR Short Course. Separate registration is required for conference attendees.

Visit the ISPOR Europe 2026 Program page to view all short courses offered.

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