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North West London Patient Index (NWL PI)

Population Size

2,684,730

People

Years

2015

Associated BioSamples

None/not available

Geographic coverage

United Kingdom

England

...see more

Lead time

1-2 months

Summary

The NWL Patient Index linked tables holds demographics for patients registered to a practices within NWL such as patient age, gender, first language and ethnicity. Lower Super Output Area and Index of Multiple Deprivation Rank is also included.

Documentation

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, anonymised or pseudonymised data based on the users job role.

Dataset type
Health and disease
Dataset sub-type
Not applicable
Dataset population size
2684730

Keywords

Patient Level Data, PLD, Discover-NOW, Patient Index, Integrated Care, Role-Based Access Control, RBAC, pseudonymised, demographics, COVID-19, COViD, Pathway, Real world data, Linked longitudina

Observations

Observed Node
Disambiguating Description
Measured Value
Measured Property
Observation Date

Persons

Population

2684730

Count

08 Dec 2020

Persons

Registered population

2743697

count

20 Oct 2022

Provenance

Source of data extraction
EPR
Collection source setting
Primary care - Clinic
Patient pathway description
This is the patient index table generated from primary care registrations. Each patient will have an unique patient key that can be used to link to all other metadata available through Discover-NOW hub
Image contrast
Not stated
Biological sample availability
None/not available

Structural Metadata

Details

Publishing frequency
Monthly
Version
6.0.0
Modified

08/10/2024

Distribution release date

18/12/2019

Citation Requirements
NHS NWL ICS

Coverage

Start date

01/01/2015

Time lag
2-4 weeks
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
OTHER
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

North West London Integrated Care Board (NWL ICB) North East London Integrated Care Board (NEL ICB) North of England Commissioning Support Unit (NECS)

Dataset Types: Health and disease


Collection Sources: Primary care - Clinic

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