Version: 4.0.0 | Published: 6 Oct 2025 | Updated: 62 days ago
Local Dataset - NEAS Ambulance data - North East and North Cumbria
Dataset
Documentation
Description:
This dataset supports population health research, service evaluation, health system planning, and operational performance monitoring. It is particularly valuable for understanding emergency care demand, response patterns, and pre-hospital clinical interventions across the North East and North Cumbria region. The dataset is pseudonymised prior to being made available in the SDE and does not include directly identifiable patient information.
Coverage
Spatial:
North East and North Cumbria region
Typical Age Range:
0-150
Pathway:
The typical patient journey begins with a 999 or 111 call to NEAS, where a call
handler records the initial details and performs triage using standard clinical
algorithms. Based on the triage outcome, an ambulance or clinical resource may
be dispatched. Upon arrival, the attending crew assesses the patient on scene,
recording observations, working diagnosis, and any treatment provided. The crew
then determines the appropriate outcome, such as conveyance to hospital,
referral to another service, or discharge at scene. All key stages in this
pathway—call receipt, dispatch, arrival, on-scene care, and handover or
closure—are timestamped and linked to a single patient episode.
Provenance
Origin
Purposes:
Care
Sources:
EPR
Collection Situations:
Secondary care - Accident and Emergency
Temporal
Accrual Periodicity:
Monthly
Start Date:
01 April 2024
Time Lag:
1-2 months
Accessibility
Access
Delivery Lead Time:
2-6 months
Data Controller:
North East and North Cumbria Secure Data Environment (SDE)
Data Processor:
North East and North Cumbria Secure Data Environment (SDE)
Usage
Data Use Limitations:
No restriction
Format and Standards
Vocabulary Encoding Schemes:
LOCAL
Conforms To:
LOCAL
Languages:
en
Formats:
application/sql
Observations
Statistical Population
Population Description
Population Size
Measured Property
Observation Date
Persons
Number of distinct individuals in the dataset
775535
Count
06 October 2025