Conversations we’re expecting to hear at ISPOR Europe 2025: Is AI redefining evidence generation or just speeding up what we already do?
ISPOR Europe 2025, the leading conference for health economics and outcomes research (HEOR) organized by ISPOR — The Professional Society for Health Economics and Outcomes Research, will take place in Glasgow (November 9–12, 2025) under the theme “Powering Value and Access Through Patient-Centered Collaboration.” The meeting comes at a time of significant change across the evidence and access landscape, as developments such as the EU HTA Regulation and the growing use of AI in evidence generation reshape how value is assessed and decisions are made amid ongoing geopolitical and economic pressures.
In this “Conversations we’re expecting to hear at ISPOR Europe 2025” series, The Evidence Base explores several key themes likely to feature prominently throughout the meeting – each reflecting an evolving dialogue among researchers, policymakers, payers, and patients.
It is without question that artificial intelligence (AI) is transforming how evidence is generated and used across health economics, outcomes research, and market access. At ISPOR Europe 2025, sessions will showcase how generative AI, multi-agent systems, and machine learning are being applied to accelerate systematic literature reviews, improve survival analyses, and support smarter payer and policy decision-making. As AI becomes more deeply embedded in research and evaluation workflows, its role in shaping the next era of evidence-based medicine is becoming impossible to ignore.
Why these sessions matter: As the capabilities of AI expand, so too do the questions around transparency, reliability, and accountability. These sessions will highlight the importance of maintaining a “human in the loop” approach – keeping experts at the helm to guide, validate, and interpret AI-driven insights. By exploring real-world use cases and hands-on demonstrations, speakers will address how AI can enhance rather than replace human expertise, ensuring that innovation advances scientific rigor, ethical integrity, and trust in evidence-based decision-making.
Selected sessions
Integrating AI Into market access workflows
Date and time: Monday November 10, 2025, 10:15am – 11:15am
Moderator: David Ringger (Cencora, Switzerland)
Speakers: Philippe Habets (The Netherlands), Eelko den Breejen (Pfizer, The Netherlands) and Andreas Altemark (Roche Diagnostics, Switzerland)
Kicking off the conferences’ main AI discussions, this Issue Panel will bring together industry experts to examine how AI is being integrated across key workflows in market access, including value dossier development, pricing strategy, stakeholder engagement, and evidence management. Discussions will focus on practical applications, organizational challenges, and regulatory and ethical considerations, highlighting how teams are adapting skills and processes in response. Attendees will gain a cross-functional view of how AI is reshaping market access and what steps organizations can take to prepare for a more data-driven, AI-enabled future.
Generative AI: Driving the next era of evidence-based medicine
Date and time: Monday November 10, 2025, 11:15am – 12:45pm
Moderator: Eric Wu (Analysis Group, USA)
Speakers: Jimmy Royer (Analysis Group, Canada), Rajeev Ayyagari (Analysis Group, USA) and Frank Hu (Analysis Group, USA)
Extending the conversation from operational to analytical transformation, this symposium will showcase how generative AI (GenAI) is advancing research and real-world evidence (RWE) generation across oncology, obesity, and cardiometabolic diseases. Presenters will demonstrate how data from electronic health records, registries, and population cohorts can be curated and linked to generate deeper, more actionable insights. The session will highlight advances in automated literature screening, multilingual summarization, and digital twin modeling, illustrating how these innovations enhance research precision, improve efficiency, and support more timely, evidence-based decision-making in healthcare.
The potential impact of AI in healthcare: MENA region perspectives
Date and time: Monday November 10, 2025, 11:45am – 12:45pm
Moderator: Mahmoud D Elmahdawy (Novartis, Egypt)
Speakers: Gihan H Elsisi (The American University in Cairo, Egypt), Marie Therese Sawaya (Lebanon) and Nadia Rashed Al Mazrouei (University of Sharjah, United Arab Emirates)
Building on the global scope of AI applications, this session will explore how AI adoption is progressing across the Middle East and North Africa (MENA), highlighting experiences from Egypt, Lebanon, and the United Arab Emirates. Speakers will discuss how AI supports Egypt’s journey toward universal health coverage, the challenges and opportunities shaping implementation in Lebanon, and the UAE’s advances in scaling AI applications and developing regulatory frameworks. The discussion will reflect the region’s diversity in healthcare systems, investment priorities, and readiness for digital transformation.
AI in CEE health system decision making: can payers, patients, and policy align for smarter access?
Date and time: Monday November 10, 2025, 11:45am – 12:45pm
Moderator: Vladimir Guzvic (Health Insurance Fund of Republic of Srpska, Bosnia and Herzegovina)
Speakers: Anna Kowalczuk (Agency for Health Technology Assessment and Tariff System, Poland), Maciej Grys (Certara, Poland) and Kevin Kallmes (Nested Knowledge, USA)
Complementing the MENA perspective, this session will spotlight how Central and Eastern European (CEE) health systems are approaching AI integration amid unique resource and structural challenges. While single-payer models generate rich real-world data, reimbursement dossiers often face lengthy timelines due to limited capacity and fragmented processes. Panelists will discuss how AI could help address these barriers by improving data standardization, accelerating evidence synthesis, and enhancing transparency in HTA. The session will also consider ethical and methodological issues, such as algorithm validation and data privacy, while exploring opportunities for cross-border collaboration and efficiency across CEE systems.
Date and time: Monday November 10, 2025, 1:45pm – 2:45pm
Moderator: Bill Malcolm (Bristol Myers Squibb, UK)
Speakers: Rajdeep Kaur (Pharmacoevidence Pvt. Ltd., India), Sven L Klijn (Bristol Myers Squibb, The Netherlands) and Pall Jonsson (NICE, UK)
Shifting to practical applications, this hands-on workshop will focus on ensuring transparency and traceability in AI-assisted research. The growing use of GenAI in HEOR introduces both new opportunities and quality concerns, making robust frameworks essential. Presenters will introduce retrieval-augmented generation (RAG) as a practical approach to strengthen confidence in AI-driven evidence generation. Attendees will learn how RAG pipelines, using chunking, embeddings, and semantic search, can support systematic literature reviews (SLRs), evidence synthesis, and dossier development. The workshop will clarify how technical design choices influence reproducibility, accuracy, and regulatory alignment in HEOR and HTA settings.
Building multi-agent AI systems to reduce subject matter expert burden in health economics research
Date and time: Tuesday November 11, 2025, 10:15am – 11:15am
Moderator: J. Jaime Caro (Thermo Fisher Scientific, USA)
Speakers: Brian Reddy (Pfizer, Ireland) and Baris Deniz (AIde Solutions, USA)
Continuing the focus on technical innovation, this workshop will introduce agent-based AI models – systems that use multiple specialized “agents” working collaboratively to perform complex tasks. These architectures can enhance accuracy and efficiency while reducing reliance on extensive expert oversight. Presenters will explain how multi-agent frameworks enable AI-to-AI validation and correction before human review, improving reliability and reducing review time. Participants will gain hands-on experience transforming a single-agent workflow into a multi-agent design, developing validation checkpoints and quality assurance mechanisms to enhance research quality and operational efficiency in HEOR.
Date and time: Tuesday November 11, 2025, 1:45pm – 2:45pm
Moderator: Christina Silver (University of Surrey, UK)
Speakers: Karen Bailey (Evidera, UK) and Jane Wells (Sanofi, UK)
Reflecting ISPOR Europe 2025’s focus on patient-centricity, this session will examine how AI can enhance the efficiency and scalability of qualitative patient research – an area central to patient-focused drug development. While qualitative methods provide deep insights into outcomes that matter most to patients, they are often time- and resource-intensive. Speakers will explore how AI can support coding, analysis, and reporting while maintaining scientific and ethical standards. Drawing on real-world case studies, the panel will discuss regulatory implications, practical challenges, and the evolving balance between automation and human expertise in qualitative research.
Gen AI in systematic literature reviews: first case study on Gen AI in a NICE submission
Date and time: Tuesday November 11, 2025, 3:15pm – 3:45pm
Moderator: Barinder Singh (Pharmacoevidence Pvt. Ltd., India)
Speakers: Sven L Klijn (Bristol Myers Squibb, UK), Dilip Makhija (Gilead Sciences, Inc., USA) and Raphael Sonabend-Friend (NICE, UK)
Returning to the operational frontlines of evidence generation, this session will present one of the first real-world examples of generative AI applied in decision-making contexts. Speakers will discuss how SLRs are evolving from traditional dual-review models to hybrid human–AI workflows, with AI tools conducting screening and data extraction in parallel with human reviewers. Drawing on experiences from NICE and Canada’s Drug Agency (CDA), the panel will explore how automation can meet compliance expectations while improving efficiency and preserving methodological rigor.
Battle of the bots: navigating the landscape of AI-enabled systematic literature review platforms
Date and time: Wednesday November 12, 2025, 10:00am – 11:00am
Moderator: Ramiro E Gilardino (Independent, Switzerland)
Speakers: Angeline Dhas (MadeAi, USA), Ranita M Tarchand (Nested Knowledge, USA) and Mark Priatel (DistillerSR, Canada)
Closing the AI conversation at ISPOR Europe 2025, this panel will take a comparative look at the growing ecosystem of AI-enabled SLR platforms. As HEOR teams face increasing pressure to balance speed with scientific rigor, choosing the right tool has never been more critical. Leading vendors will participate in a moderated, non-promotional discussion focused on transparency, human–AI collaboration, and regulatory readiness. Drawing on results from a multi-tool evaluation study, the panel will identify key differences in performance and provide a practical framework for assessing which AI platforms best meet research and compliance needs.
Coverage by The Evidence Base
Our editorial team will be on site in Glasgow to cover some of these key sessions, share daily highlights and speak with presenters and partners. Follow The Evidence Base on LinkedIn for live updates throughout the meeting. For exclusive post-event analysis and session round-ups, register on our site to receive regular updates.
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