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Version: 1.0.6 | Published: 21 Aug 2026 | Updated: 11 days ago
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North West London Pathology: Virology

Dataset

Summary

Population Size:
591561
Publication Date:
01 December 2025

Documentation

Description:
The NWL Pathology linked table is a direct feed from North West London Pathology for patients who have had Virology tests from 2018 onwards. Some of the data items included are test dates and times, test codes and names and test results. The data also includes tests that were not performed.
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:
Other
Pathway:
This dataset contains all Virology test results for tests performed by NWL Pathology from year 2018 onwards. 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
Source:
Other
Collection Source:
Services
Image Contrast:
No

Temporal

Publishing Frequency:
Biweekly
Distribution Release Date:
01 December 2025
Start Date:
01 April 2018
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:
OTHER
Language:
English
Format:
Text

Enrichment and Linkage

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
Events
15683314
Count
10 December 2025
Persons
591561
Count
10 December 2025