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ISPOR 2026!

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This must-attend event welcomes all healthcare stakeholders and is directly relevant to researchers and academicians, assessors and regulators, payers and policy makers, the life sciences industry, healthcare providers, and patient engagement organizations. This global scientific event will cover key HEOR topics, including:

  • Clinical Outcomes
  • Economic Evaluation
  • Epidemiology and Public Health
  • Health Policy and Regulatory
  • Health Service Delivery and Process of Care
  • Health Technology Assessment
  • Medical Technologies
  • Methodological and Statistical Research
  • Organizational Practices
  • Patient-Centered Research
  • Real-World Data and Information Systems
  • Real-World Evidence  
  • Study Approaches

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Register by April 9 for the early rate discount!


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In Person Short Courses at ISPOR 2026

May 17: Applied Generative AI for HEOR: Introduction - In Person at ISPOR 2026
event-Short-Courses

May 17, 2026

Discover how to responsibly apply generative AI tools to real-world HEOR research challenges.

The rapid advancement of generative artificial intelligence (GenAI) is creating new opportunities to transform how HEOR research is conducted. This course provides a foundational introduction to generative AI, with a focus on large language models (LLMs) and their practical application across HEOR research workflows. Participants will gain a clear understanding of how to access and use these tools responsibly and effectively, beyond basic chatbot interactions, to support rigorous scientific inquiry.

Technical Topics Include:

  • Overview of generative AI and large language models relevant to HEOR
  • Accessing and deploying LLMs using appropriate platforms and tools
  • Retrieval-augmented generation (RAG) and agent-based workflows
  • Privacy, security, and ethical considerations when using GenAI in HEOR
  • Applications of GenAI in systematic literature reviews and economic evaluation

This Course Includes Tools and Concepts That Can Be Immediately Applied, Including:

  • Practical guidance on designing effective prompts for research use cases
  • Examples of GenAI-supported workflows for HEOR analyses
  • Hands-on exercises using Python and relevant AI frameworks
  • Best practices for integrating GenAI into existing HEOR research processes

Participants will leave with the knowledge and confidence to begin applying generative AI techniques within specific HEOR contexts and to understand how these approaches can enhance the efficiency, quality, and scalability of HEOR research.

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.

LEVEL: Introductory
TRACK: Methodological & Statistical Research
HEOR Competency: 10.3 Artificial Intelligence (AI) and Machine Learning (ML)
HEOR Competencies: A resource for HEOR Professionals

Expand your skills by registering for the afternoon short course, Applied Generative AI for HEOR: Advanced Architectures.

This short course is offered in-person at the ISPOR 2026 conference. Separate registration is required. Visit the ISPOR 2026 Program page to learn more.

FACULTY MEMBERS

Sven Klijn, MSc
Director Evidence Acceleration & Innovation
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, 17 May 2026 | Course runs 1 Day

ISPOR short courses are designed to enhance knowledge and techniques in core health economics and outcomes research (HEOR) topics as well as emerging trends in the field. Short courses offer 4 or 8 hours of premium scientific education and an electronic course book. Active attendee participation combined with our expert faculty creates an immersive and impactful learning experience. Short courses are not recorded and are only available during the live course presentation.

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