Value Analytics Labs made a remarkable impact at ISPOR Europe 2024, the premier event in Health Economics and Outcomes Research (HEOR). Our team showcased a series of groundbreaking presentations, highlighting our expertise and innovative approaches in leveraging Generative AI to advance HEOR methodologies. Here’s a recap of our significant contributions:
Short Course: AI-Powered HEOR: Advancing Insights and Decisions with Large Language Models
Our short course delved into the transformative role of Generative AI, particularly large language models (LLMs), in enhancing key areas of HEOR. Participants learned to apply these technologies to conduct comprehensive systematic literature reviews (SLR), synthesize evidence at scale, and construct robust economic models. The course also covered the strategic use of AI in developing external control arms, essential for clinical trials and regulatory submissions, thereby improving the quality and speed of healthcare decisions.
Issue Panel: Can Generative AI Aid Readiness for Joint Clinical Assessment (JCA)?
This panel explored the potential of Generative AI to support the readiness for the Joint Clinical Assessment (JCA) framework. Our experts discussed how AI can address timeline and scope challenges, streamline the approval process for life science innovations, and expedite patient access to approved therapies. The session provided actionable insights and strategies to navigate the complexities of JCA, emphasizing the need for system efficiencies and process optimization.
Spotlight Session: HEOR in the Era of Generative AI: Navigating the New Frontiers
In this spotlight session, we examined the transformative impact of Generative AI on HEOR. The session highlighted the technology’s potential to revolutionize evidence synthesis, real-world data analysis, health economic modeling, and health technology assessment (HTA). Our experts discussed the current capabilities and challenges of integrating AI into HEOR workflows, emphasizing the importance of continuous evaluation and ethical considerations.
Oral Talk: Development of De Novo Health Economic Models Using Generative AI
This presentation showcased the use of Generative AI to streamline the de novo development of health economic models. By automating key steps such as parameter extraction, model structuring, and outcome generation, our AI-driven workflow significantly reduced the time and effort traditionally required. Real-world examples demonstrated the framework’s accuracy, with error margins below 5% compared to manual methods. This approach highlights Generative AI’s potential to make health economic modeling faster, more efficient, and accessible, driving innovation in HEOR.
Poster Presentations: Pioneering Research and Insights
1- Assessing the Performance of Large Language Models in Automating Systematic Literature Reviews: Insights from Recent Studies
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- LLMs show significant potential for automating key tasks in SLRs, though human oversight remains essential to ensure reliability. (Click for the poster file)
2- Fully Replicating Published Markov Health Economic Models Using Generative AI
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- Demonstrated the accuracy of Generative AI in replicating simple health economic models, paving the way for future research on more complex models. (Click for the poster file)
3- Generative AI to Identify Comparative Critiques in HTA Reports from Multiple Countries
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- Showcased the ability of Generative AI to streamline the extraction and synthesis of comparative critiques, enhancing decision-making processes in global health technology assessments (Click for the poster file)
4- Utilizing Generative AI Technology for Comprehensive HTA Report Analysis
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- Highlighted the advantages of Generative AI in delivering rapid insights into treatment efficacy, safety, cost-effectiveness, and critiques, streamlining HTA processes. (Click for the poster file)
5- Replicating a Partitioned Survival Model from an ICER Report using Generative AI
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- Demonstrated the feasibility of replicating published partitioned survival models with Generative AI, achieving high accuracy in cost and QALY estimations. (Click for the poster file)
Our participation at ISPOR Europe 2024 underscores our commitment to advancing HEOR through innovative AI-driven solutions. We are proud of our team’s accomplishments and look forward to continuing our journey of excellence and innovation in healthcare research.
