Bookmarks
Predictive AI models to help tackle antibiotic resistance in hospitals and communities
-West Midlands Secure Data Environment (SDE)Population Size
Years
2015 - 2025
Associated BioSamples
None/not available
Geographic coverage
West Midlands
Lead time
Variable
Summary
Documentation
Dataset type
Keywords
Dataset and BioSample Aliases
Provenance
Purpose of dataset collection
Source of data extraction
Collection source setting
Image contrast
Biological sample availability
Structural Metadata
Details
Publishing frequency
Version
Modified
02/11/2026
Distribution release date
10/09/2026
Citation Requirements
Coverage
Start date
01/01/2015
End date
31/12/2025
Time lag
Geographic coverage
Minimum age range
Maximum age range
Follow-up
Accessibility
Language
Alignment with standardised data models
Controlled vocabulary
Format
Data Access Request
Dataset pipeline status
Time to dataset access
Access request cost
Access method category
Access service description
Jurisdiction
Data use limitation
Data use requirements
Data Controller
Data Processor
Dataset Types: Health and disease, Treatments/Interventions, Measurements/Tests, Socioeconomic
Data Custodian: West Midlands Secure Data Environment (SDE)
Collection Sources: Clinic, Prescribing - Hospital, Secondary care - Accident and Emergency, Secondary care - ICU, Secondary care - In-patients, Secondary care - Outpatients