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Version: 1.0.0 | Published: 7 Nov 2025 | Updated: 28 days ago
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North West London Accident and Emergency Data (NWL A&E)

Dataset

Summary

Population Size:
1643175
Publication Date:
18 December 2019

Documentation

Description:
Initially this data is collected during a patient's time at hospital as part of the Commissioning Data Set (CDS). This is submitted to NHS Digital for processing and is returned to healthcare providers as the Secondary Uses Service (SUS) data set and includes information relating to payment for activity undertaken. It allows hospitals to be paid for the care they deliver. This same data can also be processed and used for non-clinical purposes, such as research and planning health services. Because these uses are not to do with direct patient care, they are called 'secondary uses'. This is the SUS data set. SUS data covers all NHS Clinical Commissioning Groups (CCGs) in England, including: • private patients treated in NHS hospitals • patients resident outside of England • care delivered by treatment centres (including those in the independent sector) funded by the NHS Each SUS record contains a wide range of information about an individual patient admitted to an NHS hospital, including: • clinical information about diagnoses and operations • patient information, such as age group, gender and ethnicity • administrative information, such as dates and methods of admission and discharge • geographical information such as where patients are treated and the area where they live NHS Digital apply a strict statistical disclosure control in accordance with the NHS Digital protocol, to all published SUS data. This suppresses small numbers to stop people identifying themselves and others, to ensure that patient confidentiality is maintained. Who SUS is for SUS provides data for the purpose of healthcare analysis to the NHS, government and others including: The Secondary Users Service (SUS) database is made up of many data items relating to A&E 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. • national bodies and regulators, such as the Department of Health, NHS England, Public Health England, NHS Improvement and the CQC • local Clinical Commissioning Groups (CCGs) • provider organisations • government departments • researchers and commercial healthcare bodies • National Institute for Clinical Excellence (NICE) • patients, service users and carers • the media Uses of the statistics The statistics are known to be used for: • national policy making • benchmarking performance against other hospital providers or CCGs • academic research • analysing service usage and planning change • providing advice to ministers and answering a wide range of parliamentary questions • national and local press articles • international comparison More information can be found at https://digital.nhs.uk/data-and-information/data-tools-and-services/data-services/hospital-episode-statistics https://digital.nhs.uk/data-and-information/publications/statistical/hospital-accident--emergency-activity"
In Pipeline:
Not 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 A&E attendances for NWL patients. Each patient will be identified using an unique patient key, this can be used to link to other Discover-NOW datasets that will help 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 - Accident and Emergency
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 VDI environment with a specific username and password. The researchers will get access to the datasets that is present in the hub's catalogue and would be able to carry out their research within the safe haven. There are restrictions applied which prevents the researchers from taking data out of the safe haven, once the research/analysis is completed the admin team will need to be contacted for taking the analysis off the safe haven
Access Request Cost:
In Progress
Delivery Lead Time:
1-2 months
Data Controller:
Joint data controller model across North West London
Data Processor:
North West London Integrated Care Board (NWL ICB) North East London Integrated Care Board (NEL ICB) North of England Commissioning Support Unit (NECS)
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 Discover-NOW hub

Observations

Statistical Population
Population Description
Population Size
Measured Property
Observation Date
Persons
Registered population
1407953
count
20 October 2022
Persons
1643175
Count
08 December 2020