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Version: 1.0.5 | Published: 21 Aug 2026 | Updated: 10 days ago
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North West London High Cost Drugs Data (NWL HCD)

Dataset

Summary

Population Size:
56686
Publication Date:
18 December 2019

Documentation

Description:
The purpose of the Drugs Patient Level Contract Monitoring (DrPLCM) is to enable the interchange, in a uniform format, of monthly patient level drug contract monitoring data between commissioners and providers of healthcare. This will ensure that contract monitoring and reporting is consistent and comparable across all commissioning organisations and their footprints.
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 information related to all patients prescribed high cost drugs in hospital. Every patient is identified by an unique patient key that can be used to link to other London SDE datasets to derive the patient pathway.

Provenance

Origin

Purpose:
  • Administrative
  • Care
  • Other
Dataset Type:
  • Health and disease
  • Treatments/Interventions
Dataset Sub-Type:
Not applicable
Source:
EPR
Collection Source:
  • Clinic
  • Primary care - Clinic
  • Secondary care - Accident and Emergency
  • Secondary care - Outpatients
  • Secondary care - In-patients
  • Services
  • Community
  • Home
  • Prescribing - Community pharmacy
  • Other
Image Contrast:
No

Temporal

Publishing Frequency:
Monthly
Distribution Release Date:
18 December 2019
Start Date:
01 January 2016
Time Lag:
1-2 months

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:
LOCAL
Conforms To:
LOCAL
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

Derived From

PID
Title
URL
Not Applicable

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
920739
Count
10 December 2025
Persons
56686
Count
10 December 2025
Persons
Registered population
45312
count
20 October 2022
Persons
Population
29965
Count
08 December 2020