Version: 1.0.0 | Published: 28 May 2025 | Updated: 193 days ago
London Ambulance Service Frequent Callers (LAS)
Dataset
Documentation
Associated Media:
Description:
A list of the registered population that meet the LAS Frequent Callers criteria.
This includes:
- seen and conveyed
- seen and treated
- treated over the phone
Coverage
Spatial:
United Kingdom, England, London, Kensington & Chelsea,
Westminster, Harrow, Brent, Ealing, Hammersmith and Fulham, Hillingdon, Hounslow
Typical Age Range:
0-150
Follow Up:
1 - 10 Years
Pathway:
This dataset contains all LAS Frequent Caller data for patients in London. Each
patient will be identified using an unique patient key, patient keys can be used
to link to other datasets to understand the patient pathway.
Provenance
Origin
Purposes:
Care
Sources:
- EPR
- Other
Collection Situations:
Secondary care - Ambulance
Temporal
Accrual Periodicity:
Monthly
Start Date:
31 March 2023
Time Lag:
1-2 weeks
Accessibility
Access
Access Rights:
Access Service:
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.
Access Request Cost:
In Progress
Delivery Lead Time:
1-2 months
Jurisdictions:
UK
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)
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; Discover-NOW
Format and Standards
Vocabulary Encoding Schemes:
LOCAL
Conforms To:
OTHER
Languages:
en
Formats:
- Excel
- SQL
- Tableau
- R