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UHB 2019 Summer Society of Acute Medicine Benchmarking Audit

Population Size

338

People

Years

2019 - 2019

Associated BioSamples

None/not available

Geographic coverage

United Kingdom

England

Lead time

Not applicable

Summary

Society of Acute Medicine Audit data. Hospital patients. Granular care pathways against national guidelines. Severity, demographics, multi-morbidity, completion of review, interventions and treatments, outcomes. Patient flow through hospital. UHBFT

Documentation

Background The Society for Acute Medicine (SAM) Benchmark Audit (SAMBA) is a national benchmark audit of acute medical care. The aim of SAMBA19 is to describe the severity of illness of acute medical patients presenting to Acute Medicine within UK hospitals, speed of assessment, pathway and progress seven days after admission and to provide a comparison for each participating unit with the national average (or ‘benchmark’). On average >150 hospitals take part in this audit per year. SAMBA19 summer audit measured adherence to some of the standards for acute medical care. Acute Medical Units work 24-hours per day and 365 days a year. They are the single largest point of entry for acute hospital admissions and most patients are at their sickest within the first 24-hours of admission. This dataset includes • Total number of patients assessed by acute medicine across ED, AMU and Ambulatory Care. • Medical and nursing levels • Severity of illness • Timeliness in processes of care • Clinical outcomes 7 days after admission PIONEER geography The West Midlands (WM) has a population of 5.9million & includes a diverse ethnic, socio-economic mix. There is a higher than average % of minority ethnic groups. WM has a large number of elderly residents but is the youngest population in the UK. There are particularly high rates of physical inactivity, obesity, smoking & diabetes. WM has a high prevalence of COPD, reflecting the high rates of smoking and industrial exposure. Each day >100, 000 people are treated in hospital, see their GP or are cared for by the NHS. This is the SAMBA dataset from 4 NHS hospitals. EHR University Hospitals Birmingham NHS Foundation Trust (UHB) is one of the largest NHS Trusts in England, providing direct acute services & specialist care across four hospital sites, with 2.2 million patient episodes per year, 2750 beds & 100 ITU beds. UHB runs a fully electronic healthcare record (EHR) (PICS Birmingham Systems), a shared primary & secondary care record (Your Care Connected) & a patient portal “My Health”. Scope: These data come from Queen Elizabeth Hospitals Birmingham, Good Hope Hospital, Solihull Hospital and Heartlands Hospital. All admissions in a pre-defined 24-hour period, the severity of illness, patient demographics, co-morbidity, acuity scores, serial, structured data pertaining to care process (timings, staff grades, specialty review, wards) all prescribed & administered treatments (fluids, antibiotics, inotropes, vasopressors, organ support), all outcomes.
Available supplementary data: More extensive data including granular serial physiology, bloods, conditions, interventions, treatments. Ambulance, 111, 999 data, synthetic data. Available supplementary support: Analytics, Model build, validation & 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

Dataset type
Health and disease, Treatments/Interventions
Dataset sub-type
Not applicable
Dataset population size
338

Keywords

NHS, acute, AMU, NEWS2, deterioration, alert, SEWS, patient, acute hospitals, inpatient, ethnicity, multi-morbidity, blood, biomarkers, pregnancy, care escalation, physiology, demographics, treatments, therapies, interventions, outcomes, death, clinical speciality, medical review, observations, place of review, frailty

Observations

Observed Node
Disambiguating Description
Measured Value
Measured Property
Observation Date

Persons

Anonymous SAMBA dataset with total of 338 Patients

338

COUNT

26 Jun 2019

Provenance

Purpose of dataset collection
Audit
Source of data extraction
EPR
Collection source setting
Secondary care - Accident and Emergency, Secondary care - Outpatients, Secondary care - In-patients
Patient pathway description
Data focuses on in-patient stay in hospital during the acute episode but can be supplemented on request to include even more granular hospital data.
Image contrast
Not stated
Biological sample availability
None/not available

Structural Metadata

Details

Publishing frequency
Static
Version
1.0.0
Modified

08/10/2024

Distribution release date

27/06/2019

Citation Requirements
This publication uses data from PIONEER, an ethically approved database and analytical environment (East Midlands Derby Research Ethics 20/EM/0158)

Coverage

Start date

26/06/2019

End date

26/06/2019

Time lag
Less than 1 week
Geographic coverage
United Kingdom, England, West Midlands
Minimum age range
16
Maximum age range
90
Follow-up
0 - 6 Months

Accessibility

Language
en
Alignment with standardised data models
LOCAL
Controlled vocabulary
OTHER
Format
SQL

Data Access Request

Dataset pipeline status
Available
Time to dataset access
Not applicable
Access method category
TRE/SDE
Access service description

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.

Jurisdiction
GB
Data use limitation
Research use only
Data use requirements
Project-specific restrictions
Data Controller
University Hospitals Birmingham NHS Foundation Trust

Dataset Types: Health and disease, Treatments/Interventions


Collection Sources: No collection sources listed