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North West London Admitted Patient Care Data (NWL APC)

Population Size

1,016,695

People

Years

2015

Associated BioSamples

None/not available

Geographic coverage

United Kingdom

England

...see more

Lead time

1-2 months

Summary

The NWL APC linked table is taken from the Secondary Users Service database which contains records of care administered in an APC setting within NWL. Some of the data items included are admission and discharge dates, diagnosis(ICD10) and procedures(OPCS4)

Documentation

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.
Dataset type
Health and disease, Treatments/Interventions
Dataset sub-type
Not applicable
Dataset population size
1016695

Keywords

IP, APC, Spell, Inpatient, Episode, Discover-NOW, Pathway, Real World data, Linked longitudinal

Observations

Observed Node
Disambiguating Description
Measured Value
Measured Property
Observation Date

Persons

1016695

Count

08 Dec 2020

Persons

Spells: 1219841 Derived key Episodes: 1209851 Derived key

1219841

Count

29 Nov 2022

Provenance

Source of data extraction
EPR
Collection source setting
Secondary care - In-patients
Patient pathway description
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 Discover-NOW datasets to track the patient pathway.
Image contrast
Not stated
Biological sample availability
None/not available

Structural Metadata

Details

Publishing frequency
Monthly
Version
2.0.0
Modified

08/10/2024

Distribution release date

18/12/2019

Citation Requirements
NHS NWL ICS;,;Discover-NOW

Coverage

Start date

31/03/2015

Time lag
1-2 months
Geographic coverage
United Kingdom, England, London, Brent, Ealing, Hammersmith and Fulham, Harrow, Hillingdon, Hounslow, Kensington and Chelsea, Westminster
Maximum age range
150
Follow-up

10 Years

Accessibility

Language
en
Controlled vocabulary
NHS NATIONAL CODES, ODS, ICD10
Format
Excel, SQL, Tableau, R

Data Access Request

Dataset pipeline status
Not available
Time to dataset access
1-2 months
Access request cost
In Progress
Access method category
TRE/SDE
Access service description
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.
Jurisdiction
GB
Data use limitation
No restriction
Data use requirements
Collaboration required,Institution-specific restrictions,Project-specific restrictions,Time limit on use,User-specific restriction
Data Controller
Joint data controller model across North West London
Data Processor

NHS North West London ICB NHS North East London ICB

Dataset Types: Health and disease, Treatments/Interventions


Collection Sources: Secondary care - In-patients

Publications about this dataset

How an electronic health record became a real-world research resource: comparison between London's W...Bottle A, Cohen C, Lucas A, Saravanakumar K, Ul-Ha...

BMC medical informatics and decision making BMC medical informatics and decision making

Published - 2020