Call to collaborate on data science for older people across Europe: an EuGMS Big Data Special Interest Group position paper

1. 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.

2. Ageing research data science requires collaboration across the boundaries of multiple disciplines.

3. 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.

4. 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.

5. 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.