Version: 1.0.6 | Published: 21 Aug 2026 | Updated: 9 days ago
Summary
Documentation
Associated Media:
Description:
Update of National Lung Health Screening Programme: The Lung Function Screening dataset is a direct feed from InHealth and includes North West London GP Registered patients between the ages of 55-74 years of age and are eligible for screening under the National Lung Cancer Screening Programme within the past 2 years. The dataset measures / records uptake of the screening programme and also includes demographic details about the patient such as ethnicity, deprivation and long term conditions.
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:
55
Typical Age Range Max:
74
Material Type:
None/not available
Follow Up:
Other
Pathway:
This dataset contains all Lung Function Screening uptake rates and each patient
will be identifed using an unique patient key (patient keys can be used to link
to other datasets to understand the patient pathway).
Provenance
Origin
Purpose:
- Administrative
- Care
- Other
Dataset Type:
- Health and disease
- Measurements/Tests
Dataset Sub-Type:
- Others
- Others
Source:
Other
Collection Source:
Services
Image Contrast:
No
Temporal
Publishing Frequency:
Monthly
Distribution Release Date:
15 December 2025
Start Date:
01 April 2024
Time Lag:
2-4 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:
OTHER
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
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
202051
Count
10 December 2025
Origin
Name:
NWL Data Catalogue