Version: 1.0.4 | Published: 21 Aug 2026 | Updated: 11 days ago
Summary
Documentation
Associated Media:
Description:
When a patient or service user is treated or cared for, information is collected which supports their treatment. This information is also useful to commissioners and providers of NHS-funded care for 'secondary' purposes - purposes other than direct or 'primary' clinical care - such as:
- Healthcare planning
- Commissioning of services
- National Tariff reimbursement
- Development of national policy
SUS is a secure data warehouse that stores this patient-level information in line with national standards and applies complex derivations which support national tariff policy and secondary analysis.
Access to SUS is managed using Role-Based Access Control (RBAC) which grants appropriate access levels to identifiable, anonymised or pseudonymised data based on the users job role.
In Pipeline:
Available
Coverage
Spatial:
- United Kingdom
- England
- London
- Brent
- Ealing
- Hammersmith and Fulham
- Harrow
- Hillingdon
- Hounslow
- Kensington and Chelsea
- Westminster
Typical Age Range Min:
0
Typical Age Range Max:
150
Material Type:
None/not available
Follow Up:
> 10 Years
Pathway:
This is the patient index table generated from primary care registrations. Each
patient will have an unique patient key that can be used to link to all other
metadata available through London SDE.
Provenance
Origin
Purpose:
- Administrative
- Care
- Other
Dataset Type:
Health and disease
Dataset Sub-Type:
Not applicable
Source:
EPR
Collection Source:
Primary care - Clinic
Image Contrast:
No
Temporal
Publishing Frequency:
Biweekly
Distribution Release Date:
18 December 2019
Start Date:
01 January 2015
Time Lag:
1-2 weeks
Accessibility
Access
Access Rights:
London Secure Data Environment Enquiry Form
Access Service Category:
TRE/SDE
Access Service:
Researchers will have access to a secure workspace via an airlocked Azure
Virtual Desktop with a specific username and password, MFA (multi-factor
authentication) and OAUTH (open authentication). Researchers will get specific
access to a relevant subset of the datasets that are present in the SDE
catalogue for their project and will be able to carry out their research within
the safe haven. There are restrictions applied which prevent the researchers
from taking data out of the safe haven. Once the research is completed the
London SDE admin team will need to be contacted for any requests to egress
summary analysis out of the safe haven which will not breach secure data
environment disclosure control standards.
Access Request Cost:
Access costs will be determined on a project-by-project basis and will depend on
the specific data requirements, platform setup, and any additional services
needed to deliver the project successfully.
Delivery Lead Time:
1-2 months
Data Controller:
Participating London health care organisations act as Joint Data Controllers
within the London SDE. These organisations include for example GP Practices and
Acute Providers from across London.
Data Processor:
The data processor for the London Secure Data Environment (SDE) is primarily
managed by OneLondon, a partnership of London's five integrated care systems
(ICSs) and three health innovation networks. NHS North East London ICB hosts
OneLondon and operates the London Data Service (LDS) as a data processor on
behalf of those organisations, whilst Imperial College Healthcare NHS Trust
hosts the London Analytics Platform (LAP), with Imperial NHS Trust acting as the
data processor for data processing activities undertaken within the platform.
Jurisdiction:
United Kingdom of Great Britain and Northern Ireland
Usage
Data Use Limitation:
No restriction
Data Use Requirements:
- Collaboration required
- Institution-specific restrictions
- Project-specific restrictions
- Time limit on use
- User-specific restriction
Resource Creator:
- NHS NWL ICS
- London SDE
Format and Standards
Vocabulary Encoding Scheme:
OTHER
Conforms To:
LOCAL
Language:
English
Format:
Text
Enrichment and Linkage
Investigations:
Publication About Dataset:
Bottleet al. BMC Medical Informatics and Decision Making (2020) 20:71 https://doi.org/10.1186/s12911-020-1082-7
Derived From
PID
Title
URL
Long Term Conditions Electronic Frailty Index Q-Admissions Patient Segments Risk Segments
Linkable Datasets
PID
Title
URL
Each patient will be identified by an unique patient key that can be used to link to all other datasets available within London SDE Platform
Observations
Statistical Population
Population Description
Population Size
Measured Property
Observation Date
Persons
Registered population
2743697
count
20 October 2022
Persons
Population
2684730
Count
08 December 2020
Origin
Name:
NWL Data Catalogue