Bookmarks
Society of Acute Medicine Benchmarking Audit – National Winter 2020
Population Size
5,621
People
Years
2020 - 2020
Associated BioSamples
None/not available
Geographic coverage
https://www....
Lead time
1-2 months
Summary
Documentation
The Winter Society for Acute Medicine Benchmarking Audit (SAMBA) 2020 provides a snapshot of the care provided for acutely unwell medical patients in the UK over a 24-hour period on Thursday 30th January 2020. This was the first time SAMBA had been conducted during winter, to provide a comparison to the information provided by the annual SAMBA taking place in summer.
It includes 5,621 patients in the SAMBA dataset- containing unit structure and staffing levels, patient demographics (age and gender), severity of illness at presentation using an early warning score (e.g. NEWS2), frailty and pathway of care through the hospital and readmission. The dataset consists of an audit of a day on 30th January 2020.
Geography: Recruitment to SAMBA audits are open to all hospitals in the UK receiving acutely unwell medical patients. Non-acute and community hospitals were excluded.
The SAMBA dataset draws on contributions from across all four nations of the UK. In 2020, patient data was submitted by 93 hospital in England, 3 in Northern Ireland, 4 in Scotland and 4 in Wales.
Data set availability: Data access is available via the PIONEER Hub for projects which will benefit the public or patients. This can be by developing a new understanding of disease, by providing insights into how to improve care, or by developing new models, tools, treatments, or care processes. Data access can be provided to NHS, academic, commercial, policy and third sector organisations. Applications from SMEs are welcome. There is a single data access process, with public oversight provided by our public review committee, the Data Trust Committee. Contact pioneer@uhb.nhs.uk or visit www.pioneerdatahub.co.uk for more details.
Available supplementary data: To supplement the national audit data, PIONEER can provide more granular, longitudinal patient-level insights. This includes matched controls, ambulance and community data, and unstructured data (such as images).
Available supplementary support: Analytics, model build, validation & refinement; A.I. support. Data partner support for ETL (extract, transform & load) processes. Bespoke and “off the shelf” Trusted Research Environment (TRE) build and run. Consultancy with clinical, patient & end-user and purchaser access/ support. Support for regulatory requirements. Cohort discovery. Data-driven trials and “fast screen” services to assess population size.
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Observed Node | Disambiguating Description | Measured Value | Measured Property | Observation Date |
|---|---|---|---|---|
Persons | Winter SAMBA taken on Jan 30th 2020 | 5621 | Count | 19 Feb 2025 |
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Modified
21/03/2025
Distribution release date
21/03/2025
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Start date
30/01/2020
End date
30/01/2020
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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.
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