Bookmarks
ID-503: Electronic Health Record Analysis and Longitudinal Data Analysis to Understand the Risk Factors in Dementia
Safe People
Organisation name
Imperial College London
Applicant name(s)
Payam Barnaghi
Funders/ Sponsors
Safe Projects
Project ID
ID-503
Lay summary
Comorbidities and changes in the health and well-being of people who are at risk of developing dementia are considered important factors in identifying the risks and also forecasting the progression.
Public benefit statement
Exploring longitudinal electronic health care records at the level of the UK population can help us understand how these conditions relate to one another and interconnect, and what other lifestyle or historical factors might play a part.
Other approval committees
Project start date
01/02/2026
Project end date
30/07/2026
Latest approval date
15/01/2026
Safe Data
Dataset(s) name
Data sensitivity level
De-Personalised
Release/Access date
19/01/2026
Safe Setting
Access type
TRE