Bookmarks
Connected Bradford - Secondary Care Bradford Royal Infirmary - FDM
Population Size
822,440
People
Years
1938
Associated BioSamples
None/not available
Geographic coverage
United Kingdom
England
...see more
Lead time
1-2 months
Summary
Documentation
The Connected Bradford Bradford Royal Infirmary : Flexible Data Model (FDM) Contains routinely collected data for approximately 800,000 patients. The dataset has been fully anonymised, but can link to other Connected Bradford FDM's.
The Bradford Royal Infirmary FDM last build date was 2024-05-09 and contains data up to : 2023-11-16.. The observation period for this data is: 1933-08-28 to 2024-04-22
The FDM is made up of 32 source table using routinely collected data for 822,440
individuals.
The tables are as supplied with minimal reformatting.
The source tables are largely populated by fields with the tbl where there is a person and a start and end date, and cb where there is no identifiable person (these are typically lookup tables)
It includes basic patient demographics, information about consultation events, medical history including diagnoses and investigations, laboratory results, medications, theatre, spells, pharmacy etc
Dataset type
Dataset sub-type
Dataset population size
Keywords
Observations
Observed Node | Disambiguating Description | Measured Value | Measured Property | Observation Date |
|---|---|---|---|---|
Persons | This population within this dataset covers all those individuals who have a Inpatient, Outpatient , A&E or any other record at Bradford Royal Infirmary | 822440 | Count | 09 May 2024 |
Provenance
Collection source setting
Patient pathway description
Image contrast
Biological sample availability
Structural Metadata
Details
Publishing frequency
Version
Modified
08/10/2024
Citation Requirements
Coverage
Start date
28/08/1938
Time lag
Geographic coverage
Maximum age range
Follow-up
Accessibility
Language
Controlled vocabulary
Format
Data Access Request
Dataset pipeline status
Access rights
Time to dataset access
Access service description
Expression of Interest (EOI) are reviewed 3 monthly by the Connected Bradford Board. For the majority of EOI's, a subset of various FDM's fitting the requirements of the research will be provided for use by the researcher. The extract will only contain the variables required by the research. Access to data is via a secure R or Python environment hosted by the SDE.
A Data Sharing Contract and Agreement will need to be signed by the researcher's institution and Bradford Teaching Hospitals NHS Foundation Trust. For more information see https://github.com/ConnectedBradford
Jurisdiction
Data use limitation
Data use requirements
Data Controller
Data Processor