Version: 1.0.4 | Published: 19 May 2026 | Updated: 11 days ago
Summary
Documentation
Associated Media:
Description:
Local Authority Children Looked After (CLA) data is linked with health data that is held in the London SDE platform, to help better understand the needs of children within a Local Authority.
Bi-borough and Harrow are piloting this data sharing, with IG already in place and approved to enable the data to be shared directly to London SDE.
Combining this data will help improve developmental, safeguarding, and wellbeing outcomes for children and young people, by providing analysis which gives a more informed understanding of children and young people. Analysis of the impacts of the wider determinants of health would also be possible, helping NHS Practitioners, DCSs, and their teams to identify and prioritise opportunities for development and improvement of the service offer, to best support the most vulnerable children and young people and their families.
Specific use cases could include:
Understanding the health needs of children in contact with children services, by analysing specific health events experienced across cohorts, such as, long-term conditions e.g. Mental Health and A&E.
Geographically mapping the level of need within a Local Authority, using the combined data to inform the level of need, using data points such as the proportion of children: in contact with children services, with mental health conditions, visiting A&E with care plans.
In Pipeline:
Not available
Coverage
Spatial:
- United Kingdom
- England
- London
- Kensington and Chelsea
- Westminster
- Harrow
Typical Age Range Min:
0
Typical Age Range Max:
18
Material Type:
None/not available
Follow Up:
> 10 Years
Pathway:
This dataset contains all children and young people activity (CYP) for NWL
patients in the following local authorities: Kensington & Chelsea, Westminster
and Harrow. Each patient will be identified by an unique patient key that can be
used to link to other London SDE datasets to track the patient pathway.
Provenance
Origin
Purpose:
- Other
- Care
Dataset Type:
- Health and disease
- Treatments/Interventions
Dataset Sub-Type:
Not applicable
Source:
EPR
Collection Source:
Local authority
Image Contrast:
Not stated
Temporal
Publishing Frequency:
Annual
Distribution Release Date:
01 April 2024
Start Date:
01 April 2018
End Date:
31 March 2023
Time Lag:
1-2 months
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:
LOCAL
Conforms To:
LOCAL
Language:
English
Format:
- Excel
- SQL
- Tableau
- R
Enrichment and Linkage
Investigations:
Publication About Dataset:
Bottleet al. BMC Medical Informatics and Decision Making (2020) 20:71 https://doi.org/10.1186/s12911-020-1082-7
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
Persons
2258
Count
21 October 2025
Origin
Name:
NWL Data Catalogue