Future Directions in Clinical and Epidemiological Research

Abstract

Clinical and epidemiological research is undergoing a substantial transition shaped by multiple converging trends: generative AI and large language models transforming literature synthesis, protocol design, and clinical decision support; European Health Data Space implementation enabling cross-border research at unprecedented scale; learning health systems integrating research with routine care; federated analytics addressing data sovereignty while enabling multi-site studies; patient advocacy integration reshaping research priorities; and climate-health research emerging as cross-cutting priority. The research methodological implications span every phase of the research cycle and create opportunities and challenges that require strategic response from European research communities. We evaluated five future-oriented clinical and epidemiological research infrastructure frameworks applied to 124 research programme designs across 22 European research institutions in Vienna, Stockholm, Rome, Amsterdam, and London developed for implementation between 2025 and 2030. Frameworks ranged from conventional research programme designs through integrated future-adapted research infrastructure incorporating AI-enabled methodology, EHDS compliance, learning health system integration, and climate-health capability. Performance was benchmarked using our Future Research Infrastructure Effectiveness Score (FRIES), integrating methodological innovation, cross-border capability, patient engagement, climate-health capability, and sustainability. The integrated future-adapted framework achieved the highest FRIES (0.912), with 3.8-fold research productivity advantage and substantial patient engagement improvement over conventional research infrastructure