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Version: 1.0.4 | Published: 19 May 2026 | Updated: 8 days ago
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North West London Admitted Patient Care Data (NWL APC)

Dataset

Summary

Population Size:
1068749
Publication Date:
18 December 2019

Documentation

Description:
The Secondary Users Service (SUS) database is made up of many data items relating to admitted patient care delivered by NHS hospitals in England. Many of these items form part of the national Commissioning Data Set (CDS), and are generated by the patient administration systems within each hospital. 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 or de-identified 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 dataset contains all inpatient activity for NWL patients. Each patient will be identified by an unique patient key that can be used to link to other London SDE datasets to track the patient pathway.

Provenance

Origin

Purpose:
  • Administrative
  • Care
  • Other
Dataset Type:
  • Health and disease
  • Treatments/Interventions
Dataset Sub-Type:
  • Others
  • Others
Source:
EPR
Collection Source:
Secondary care - In-patients
Image Contrast:
Not stated

Temporal

Publishing Frequency:
Monthly
Distribution Release Date:
18 December 2019
Start Date:
31 March 2015
Time Lag:
1-2 months

Accessibility

Access

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:
  • NHS NATIONAL CODES
  • ODS
  • ICD10
Conforms To:
  • NHS DATA DICTIONARY
  • LOCAL
Language:
English
Format:
  • Excel
  • SQL
  • Tableau
  • R

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

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
3785195
Count
10 December 2025
Persons
1068749
Count
10 December 2025
Persons
Spells: 1219841 Derived key Episodes: 1209851 Derived key
1219841
Count
29 November 2022
Persons
1016695
Count
08 December 2020