Learn. Connect. Collaborate.
We look forward to welcoming you to the GetReal Institute’s 2026 Annual Conference on 29–30 June 2026 in Utrecht, The Netherlands.
Building on the 2025 conference, the 2026 event turns attention to the practical challenge of translating real-world data into evidence that can inform regulatory and Health Technology Assessment (HTA) decision-making. As Real-World Evidence (RWE) gains greater recognition among decision-makers, attention is increasingly focused on how data sources, analytical methods, and decision context contribute to robust and credible evidence. Advances in analytics, artificial intelligence, and digital technologies are also reshaping how data are curated, analysed, and interpreted, creating new opportunities and new considerations for evidence generation and review.
At this conference, we build on a shared understanding across the community that real-world evidence plays an important role in decision-making. The focus is therefore on the practical questions that now matter most: what constitutes fit-for-purpose RWE, how robust data quality can be ensured, how to meet the expectations of decision-makers, and how to respond to the challenges introduced by new and innovative technologies.
Bringing data, methods, and decision context together to enable fit-for-purpose Real-World Evidence that can be used with confidence in regulatory and HTA decision-making.
- Hear perspectives from regulators, HTA bodies, industry, patient advocates, and academia on how alignment across data, methods, and decision context underpins trust in Real-World Evidence.
- Explore how cross-sector collaboration supports consistent and transparent use of RWE across regulatory, pricing, and reimbursement pathways.
- Examine practical approaches for generating and assessing evidence that is considered robust, credible, and fit for purpose in today’s evolving healthcare environment.
Advancing RWE toward decision-grade use
- Examine how methodological choices across study design, data selection, and analysis influence the credibility and usability of Real-World Evidence in regulatory and HTA settings.
- Explore how advances in analytics, artificial intelligence, digital health, and patient-centred tools are being applied to support the transparent and rigorous translation of real-world data into evidence.
- Engage with experts on how evolving methods can be implemented in practice while maintaining confidence, reproducibility, and alignment with decision-maker expectations.
- Learn how the GetReal® Institute is advancing the use of Real-World Evidence in regulatory and HTA decision-making through work on target trial emulation, patient engagement and preference research, surrogate endpoint validation, and the responsible application of artificial intelligence.
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