Proposing a person-centred health data ecosystem framework to optimise digital innovation and artificial intelligence for dementia prevention and cognitive longevity

Journal article : Review

Global healthcare systems need to evolve to ensure optimal, safe, and ethical utilisation of health data and the latest digital technologies, such as Artificial Intelligence (AI), Privacy Enhancing Technologies (PETs), and Quantum Technologies, to meet the challenges of a global ageing population. Simultaneously, the increasing capabilities of remote measurement technologies, including the advent of quantum sensing, and the proliferation of 5G networks demonstrate that digital technologies are now more accessible to a much larger population, offering an opportunity for decentralised and democratised health data use that supports individual agency. Given the significant international human and economic cost of cognitive decline and dementia, we propose that a person-centred decentralised health data ecosystem, underpinned by these emerging technologies and opportunities, would reduce burden on cognitive healthcare systems by intervening earlier, accelerate clinical research innovation in dementia, and extend cognitive healthspan. It is of particular importance to reach out to underserved populations and ensure their data is not excluded. Crucially, we argue for the importance of including the individual, as well as other key stakeholders, in the development, continuing operation, and as a shared beneficiary of any potential accrued value emerging from this cognitive longevity ecosystem. We frame a structured, evidence-based framework and specify its core components, suggesting a roadmap for systematic implementation and evaluation as a pivotal move toward enhanced cognitive health outcomes and accelerated equitable innovation in dementia prevention.

Authors: Albertyn, CP; Surodina, S; Świeboda, P; Tan, B; Woods, T

• Publication status: Published
• Peer review status: Peer reviewed
• Publisher: Taylor and Francis Group
• Journal: Longevity
• Volume: 6
• Issue: 1
• Article number: 2570721
• Publication date: 2025-12-31
• Acceptance date: 2025-09-22
• DOI: 10.1080/30653495.2025.2570721
• EISSN: 3065-3495
• ISSN: 3065-3495
• Language: English
• Keywords: Cognitive longevity; ethical AI; artificial intelligence; person-centred health data ecosystem; digital health
• Subtype: Review