Abstract

Data science and AI may improve outcomes for older people through enhanced prognostication, clinical trial design, and service evaluation using routinely collected electronic health data. Ageing research data science requires collaboration across the boundaries of multiple disciplines. A pan-European approach could examine variation in outcomes among older people, test common clinical decision aids and prediction tools, and evaluate different services and interventions for older people in a variety of contexts. Standardisation and shared learning across Europe are important to identify and share best practice for older people and advocate for this standard of care across the continent with the aim of improving equality and equity of health services. The EuGMS Big Data Special Interest Group aims to deliver harmonised, pan-European ageing research data science to transform health and care services for older people.

Original languageEnglish
Pages (from-to)1561-1565
Number of pages5
JournalEuropean Geriatric Medicine
Volume16
Issue number5
DOIs
Publication statusPublished - 31 Oct 2025

ASJC Scopus subject areas

  • Gerontology
  • Geriatrics and Gerontology

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