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ID-363: Optimising patient journeys through the healthcare system

Safe People

Organisation name

Imperial College Healthcare NHS Trust

Applicant name(s)

Paul Aylin

Funders/ Sponsors

Safe Projects

Project ID

ID-363-2

Lay summary

By analysing the data contained in the dataset, we plan to identify areas where patients may be experiencing delays or where care may be duplicative or unnecessary.

Public benefit statement

A key purpose of the research will be the identification of bottlenecks and inefficiencies in the healthcare system. By analysing the data contained in the dataset, we plan to identify areas where patients may be experiencing delays or where care may be duplicative or unnecessary. This can be particularly useful for identifying opportunities for improvement and for developing strategies or algorithms to optimise the movement (“flow”) of patients through the healthcare system. Through this research we hope to gain a deeper understanding of how care is delivered in the region and identify opportunities for improvement that could lead to better patient outcomes and a more efficient healthcare system.

Other approval committees

Project start date

20/07/2023

Project end date

01/06/2026

Latest approval date

18/12/2025

Safe Data

Dataset(s) name

Data sensitivity level

De-Personalised

Release/Access date

22/12/2025

Safe Setting

Access type

TRE

Safe Outputs

Link to research outputs