Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Proposing a person-centred decentralised health data ecosystem to optimise applied data science and artificial intelligence for dementia prevention and cognitive longevity. (Preprint)
0
Zitationen
7
Autoren
2023
Jahr
Abstract
<sec> <title>UNSTRUCTURED</title> 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 Distributed Ledger Technologies (DLTs), to meet the challenges of a global ageing population. Simultaneously, the increasing capabilities of remote measurement technologies and the proliferation of 5G networks demonstrates that digital technologies are now more accessible to a much larger population, offering an opportunity for decentralised 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. 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 ecosystem. </sec>
Ähnliche Arbeiten
UK Biobank: An Open Access Resource for Identifying the Causes of a Wide Range of Complex Diseases of Middle and Old Age
2015 · 12.819 Zit.
SEER Cancer Statistics Review, 1975-2003
2006 · 11.476 Zit.
NIA‐AA Research Framework: Toward a biological definition of Alzheimer's disease
2018 · 9.967 Zit.
Global burden of 87 risk factors in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019
2020 · 9.264 Zit.
Mild Cognitive Impairment
1999 · 8.897 Zit.