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 stop 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).
Coverage
Spatial:
United Kingdom,England,London,Brent,Ealing,Hammersmith and
Fulham,Harrow,Hillingdon,Hounslow,Kensington and Chelsea,Westminster
Typical Age Range:
0-150
Follow Up:
1 - 10 Years
Pathway:
The independent datasets don"t show the full patient pathway. We can include
other datasets (Clock Starts, Diagnostics and Open Pathways) in views to show
the full patient pathway). This dataset contains all RTT Clock Stops using a
patient key to link to patient activity related to NWL patient population.
Provenance
Origin
Purposes:
- Administrative
- Care
- Other
Sources:
Other
Collection Situations:
- Secondary care - Outpatients
- Secondary care - In-patients
- Other
Temporal
Accrual Periodicity:
Weekly
Distribution Release Date:
31 March 2021
Start Date:
31 March 2021
Time Lag:
1-2 weeks
Accessibility
Access
Access Rights:
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.
Usage
Data Use Limitations:
No restriction
Data Use Requirements:
- Collaboration required
- Institution-specific restrictions
- Project-specific restrictions
- Time limit on use
- User-specific restriction
Resource Creators:
NHS NWL ICS;,;London SDE
Format and Standards
Vocabulary Encoding Schemes:
NHS NATIONAL CODES
Conforms To:
- NHS DATA DICTIONARY
- LOCAL
Languages:
en
Formats:
- Excel
- SQL
- Tableau
- R
Enrichment and Linkage
Qualified Relations:
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
Tools:
Derivations:
Long Term Conditions", "Electronic Frailty Index", "Q-Admissions", "Patient Segments", "Risk Segments
Observations
Statistical Population
Population Description
Population Size
Measured Property
Observation Date
Events
Total events
642642
count
26 October 2022
Events
1833921
Count
10 December 2025
Persons
816528
Count
10 December 2025
Persons
NHS National Codes
68219
Count
14 September 2021