Bookmarks
ID-342: Extension: Uncovering Patterns of Falls Risk Factors: A Cross-sectional Analysis of Integrated Electronic Health Records in North-West London
Safe People
Organisation name
Imperial College Health Partners
Applicant name(s)
Yusuf Abdullahi
Funders/ Sponsors
Safe Projects
Project ID
ID-342-5
Lay summary
It forms the basis of our future work to develop a mechanism that can identify and flag to hospital clinicians patients’ individual falls risk factors from their GP records.
Public benefit statement
This current project will not benefit patients directly; however, it forms the basis of our future work to develop a mechanism that can identify and flag to hospital clinicians patients’ individual falls risk factors from their GP records. We have conducted patient and public involvement activities with two groups of older patients and their family members/informal carers: they told us that they are frustrated at being repeatedly asked the same questions by multiple professionals in different organisations. They said joined-up care is important to them and they understand this requires responsible information-sharing between healthcare providers. A future Clinical Decision Support tool to surface
Other approval committees
Project start date
18/05/2023
Project end date
21/09/2026
Latest approval date
21/05/2026
Safe Data
Dataset(s) name
Data sensitivity level
De-Personalised
Release/Access date
25/05/2026
Safe Setting
Access type
TRE