Version: 1.0.4 | Published: 19 May 2026 | Updated: 5 days ago
Summary
Documentation
Associated Media:
Description:
Restoration of elective activity is one of the highest priorities for NHS England and NHS Improvement following the impact of the Covid-19 pandemic. Understanding the composition of the waiting list is critical to managing restoration within North West London.
Data will be collected via data submissions made by each individual provider of NHS Acute healthcare services in North West London. This dataset includes data from Imperial College Healthcare NHS Trust, Chelsea and Westminster NHS Foundation Trust, London North West Healthcare NHS Trust and The Hillingdon Hospital NHS Trust. Data will be processed under an Information Sharing Agreement between North West London CCG and each organisation. Data submissions will be processed and used for the following purposes:
1. Developing a visual display of the waiting list composition (Elective Waiting List Data Dashboard).
2. Developing a data quality improvement programme with providers.
All RTT pathways with a clock start date after 23:59 on Sunday 4th April 2021 and before 23:59 on the Sunday of the reporting period and not recorded to date (in a previous submission).
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:
1 - 10 Years
Pathway:
The independent datasets don't show the full patient pathway. We can include
other datasets (Clock Stops, Diagnostics and Open Pathways) in views to show the
full patient pathway. This dataset contains all RTT Clock Starts using a patient
pathway identifier to link to patient activity related to NWL patient
population.
Provenance
Origin
Purpose:
- Administrative
- Care
- Other
Dataset Type:
- Health and disease
- Treatments/Interventions
Dataset Sub-Type:
Not applicable
Source:
Other
Collection Source:
- Secondary care - Outpatients
- Secondary care - In-patients
- Other
Image Contrast:
Not stated
Temporal
Publishing Frequency:
Weekly
Distribution Release Date:
31 March 2021
Start Date:
31 March 2021
Time Lag:
1-2 weeks
Accessibility
Access
Access Rights:
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
Conforms To:
- NHS DATA DICTIONARY
- LOCAL
Language:
English
Format:
- Excel
- SQL
- Tableau
- R
Enrichment and Linkage
Investigations:
Tools:
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
794248
Count
10 December 2025
Events
Patient Pathways
697044
Count
20 October 2022
Events
NHS National Codes
115563
Count
14 September 2021
Persons
465707
Count
10 December 2025
Origin
Name:
NWL Data Catalogue