Bookmarks
Connected Bradford - Secondary Care Airedale - FDM
Population Size
330,091
People
Years
2010
Associated BioSamples
None/not available
Geographic coverage
United Kingdom
England
...see more
Lead time
1-2 months
Summary
Documentation
The Connected Bradford Airedale: Flexible Data Model (FDM) Contains routinely collected data for approximately 300,000 patients. The dataset has been fully anonymised, but can link to other Connected Bradford FDM's.
The Airedale FDM last build date was 2024-05-09 and contains data up to : 2024-04-15.. The observation period for this data is: 2010-04-01 to 2024-04-15
The FDM is made up of 10 source table using routinely collected data for 330,091 individuals.
The tables are as supplied with minimal reformatting, but as the overall format for each file type has changed there are different versions of files. For example there are 4 APC formats used as the APC format has changed 4 times since we started receiving it.
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 and vaccinations
Keywords
Observations
Observed Node | Disambiguating Description | Measured Value | Measured Property | Observation Date |
---|---|---|---|---|
Persons | This population within this dataset covers all those individuals who have attended a Inpatient, Outpatient or A&E visit to Airedale Hospital | 330091 | Count | 17 Apr 2024 |
Provenance
Structural Metadata
Details
08/10/2024
Coverage
01/04/2010
Accessibility
Data Access Request
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