Version: 1.0.4 | Published: 19 May 2026 | Updated: 7 days ago
Summary
Documentation
Associated Media:
Description:
Organisations we collect information for include:
NHS England - information is used to collect GP payments, based on achievements under the Quality and Outcomes Framework (QOF) and the delivery of quality services
other government departments - for information about certain medical conditions and GP activity
universities and other organisations - for academic research and services such as screening programmes
The systems that we use to collect data and information include:
General Practice Extraction Service (GPES) - used to collect information and data
Calculating Quality Reporting Service (CQRS) - to record practice participation and to process and display information
GP clinical systems - to record information at practice level
We are responsible for producing and maintaining the extract specification (business rules) to enable the extraction of these services.
Interaction between a patient and the practice they are registered to
All Appointments data
All clinical diagnostics data
All administrative activity related to patients communication with practice
All test results related to patients
All screening information related to patients
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:
The data in this table relates to primary care events which is any interaction
between the patient and their registered general practice. All patients are
identified by an unique patient key which can be linked with all other datasets
available in the London SDE catalogue to understand the patient pathway.
Provenance
Origin
Purpose:
- Administrative
- Care
- Other
Dataset Type:
- Health and disease
- Treatments/Interventions
Dataset Sub-Type:
Not applicable
Source:
EPR
Collection Source:
Primary care - Clinic
Image Contrast:
Not stated
Temporal
Publishing Frequency:
Biweekly
Distribution Release Date:
18 December 2019
Start Date:
01 January 2015
Time Lag:
1-2 weeks
Accessibility
Access
Access Rights:
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. 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 5 safe standards.
Access Request Cost:
In Progress
Delivery Lead Time:
1-2 months
Data Controller:
Joint data controller model across London: North Central London Integrated Care
System (NCL ICS), Central London Integrated Care System (CL ICS), East London
Integrated Care System (EL ICS), West London Integrated Care System (WL ICS),
South London Integrated Care System (SL ICS)
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.
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:
- READ
- SNOMED CT
Conforms To:
LOCAL
Language:
English
Format:
- Excel
- SQL
- Tableau
- R
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 Analytics Platform
Observations
Statistical Population
Population Description
Population Size
Measured Property
Observation Date
Events
2246530473
Count
10 December 2025
Persons
2909879
Count
10 December 2025
Persons
Registered population
2737753
count
20 October 2022
Persons
Population
2644802
Count
08 December 2020
Origin
Name:
NWL Data Catalogue