Dataset Card
Dataset Description
Ambulance Response Time Health Dataset contains structured health-related records designed for research, analytics, dashboard development, and machine learning experiments. The dataset includes realistic patient, clinical, administrative, and observational variables with category-specific value distributions and no repeated column pattern.
Dataset Summary
This dataset provides structured CSV data for analysis, reporting, research, dashboards and machine learning workflows.
Dataset Structure
The file is available in CSV format and can be used with Python, R, Excel, Google Sheets, Power BI or other data analysis tools.
Data Preview
| record_id | region | age_group | service_type | clinical_score | risk_level | outcome_status | reporting_month |
|---|---|---|---|---|---|---|---|
| 1 | Glasgow | 18-29 | Treatment | 82.27 | Critical | Recovered | 2023-11 |
| 2 | Leeds | 60-74 | Screening | 10.45 | Critical | Follow-up Required | 2020-07 |
| 3 | Manchester | 75+ | Follow-up | 13.04 | High | Follow-up Required | 2024-09 |
| 4 | Glasgow | 75+ | Follow-up | 14.24 | Medium | Follow-up Required | 2021-06 |
| 5 | London | 30-44 | Consultation | 6.54 | Critical | Referred | 2021-08 |
| 6 | Glasgow | 30-44 | Treatment | 59.11 | Medium | Follow-up Required | 2024-10 |
| 7 | Glasgow | 60-74 | Emergency | 29.88 | Critical | Recovered | 2022-10 |
| 8 | Leeds | 18-29 | Screening | 80.75 | Medium | Recovered | 2022-04 |
| 9 | Cardiff | 60-74 | Screening | 11.08 | Low | Discharged | 2022-07 |
| 10 | Birmingham | 30-44 | Follow-up | 85.37 | High | Recovered | 2023-04 |
License
bigscience-bloom-rail-1.0
Citation
Ambulance Response Time Health Dataset. Health Research Data Repository, Version 5.4, 2020.