Bookmarks
Longitudinal hospital prescribing data for >48,000 deeply phenotyped patients
Population Size
79,287
People
Years
2017 - 2020
Associated BioSamples
None/not available
Geographic coverage
United Kingdom
England
Lead time
1-2 months
Summary
Documentation
Background. The Healthcare Safety Investigation Branch (HSIB) published a report in 2020 reviewing the need to have a better method of identifying and preventing medication errors. 237 million medications errors occur in England per year. 5% of hospital admissions are related to medication errors, side effects or drug/drug interactions. Older patients, those with multiple long-term conditions and polypharmacy are most likely to experience the worse outcomes from medicine related harm. This dataset provides highly detailed medicine prescribing, indication, administration and patient outcome data, focusing on hospitalised patients in acute care.
PIONEER geography. The West Midlands (WM) has a population of 5.9 million and includes a diverse ethnic and socio-economic mix.
EHR. UHB is one of the largest NHS Trusts in England, providing direct acute services and specialist care across four hospital sites, with 2.2 million patient episodes per year, 2750 beds and an expanded 250 ITU bed capacity during COVID. UHB runs a fully electronic healthcare record (EHR) (PICS; Birmingham Systems), a shared primary and secondary care record (Your Care Connected) and a patient portal “My Health”.
Scope: All hospitalised patients in UHB Acute Medicine (AMU) and Emergency Departments (ED) from November 2017 to October 2020, curated to focus on medicines reconciliation. Longitudinal and individually linked, so that the preceding and subsequent health journey can be mapped and healthcare utilisation prior to and after admission understood. The dataset includes highly granular patient demographics and co-morbidities taken from ICD-10. Serial, structured data pertaining to acute care process (timings and wards). Along with presenting complaints, physiology readings (NEWS 2 and SEWS score). Includes all prescribed treatments, drug history, medication history and pharmacy interventions.
Available supplementary data: Matched controls; ambulance, OMOP data, synthetic data.
Available supplementary support: Analytics, Model build, validation and refinement; A.I.; Data partner support for ETL (extract, transform & load) process, Clinical expertise, Patient & end-user access, Purchaser access, Regulatory requirements, Data-driven trials, “fast screen” services.
Keywords
Observations
Observed Node | Disambiguating Description | Measured Value | Measured Property | Observation Date |
|---|---|---|---|---|
Persons | 79,287 admissions from AMU and ED between 01-11-2017 and 01-10-2020 | 79287 | Count | 15 Feb 2022 |
Provenance
Structural Metadata
Details
08/10/2024
15/02/2022
Coverage
01/11/2017
30/09/2020
Accessibility
Data Access Request
Trusted Research Environments (TRE) are built using Microsoft Azure services and hosted in the UK to provide research teams a safe, secure and agile environment which allows users to quickly analyse, interpret and form an enriched view of primary care information through a range of integrated datasets.
Health data collated from multiple sources is ingested into a secure data lake which will then allow subsets of data to be made available to research teams on approval of a data request. Once approved a customer specific TRE is made available with a standard set of leading analytical tools from Microsoft including Azure Databricks, Azure Machine Learning, Azure SQL and Azure Synapse (for large-scale data warehouses). Specific tools can be provided at an additional cost over the standard platform data access charge and the PIONEER team will work with you to determine your exact needs.
Access to the TRE is managed using the latest virtual desktop technology to provide a safe and secure end-user experience. By utilising leading edge design PIONEER are able to create TREs rapidly to enable us to service any customer requirement.