November 9: Introduction to Applied Generative AI for HEOR - In Person at ISPOR Europe 2025
event-Short-Courses

November 9, 2025

Explore the transformative potential of generative AI in HEOR research

This introductory course is designed for researchers, analysts, and decision makers interested in understanding how generative artificial intelligence (Gen AI), particularly large language models (LLMs), is reshaping the field of health economics and outcomes research (HEOR). The course offers foundational knowledge on Gen AI, with a focus on how to responsibly and effectively integrate LLMs into scientific HEOR workflows.

Technical topics include:

  • Introduction to generative AI and large language models (LLMs) and their relevance to HEOR.

  • Best practices for accessing and interacting with LLMs beyond basic chatbot functions.

  • Principles of prompt engineering to support scientific inquiry and analysis.

  • Privacy, security, and ethical considerations when using Gen AI in HEOR research.

  • Applied use cases in systematic literature review (SLR), real-world evidence generation, and economic evaluation.

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

  • Step-by-step demonstrations using Python and AI frameworks for common HEOR research tasks.

  • Real-world examples showing how Gen AI can enhance existing HEOR methodologies.

  • Hands-on exercises for participants to practice applying Gen AI techniques in HEOR contexts.

Participants interested in engaging in practical activities are encouraged to bring a laptop with Python installed.

PREREQUISITES: Students should have a general understanding of common HEOR concepts such as SLRs and cost-effectiveness models. Knowledge of Python or similar programming languages such as R is considered a benefit, but not required.

This short course is offered in-person at the ISPOR Europe 2024 conference.

Register Here

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

LEVEL: Introductory
TRACK: Methodological & Statistical Research
HEOR Key Competency:
 10.3 Artificial Intelligence (AI) and Machine Learning (ML)

FACULTY MEMBERS

Sven Klijn, MSc
Director Economic & Predictive Modeling
MAx Global HEOR
Bristol Myers Squibb
Princeton, NJ, USA

William Rawlinson, MPhysPhil
Senior Health Economist
Estima Scientific
London, England, UK

Timothy Reason, MSc
Director and Founder
Estima Scientific

London, England, UK

 

Schedule:

LENGTH: 4 Hours | Course runs 1 day

Sunday, 9 November 2025 | Course runs 1 Day
08:00-12:00 Central European Time (CET)

REGISTER HERE

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

Visit the ISPOR Europe 2025 Program page to view all short courses offered.

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