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A dataset of monitored patient safety indicators in 3 acute hospital settings

Population Size

9,639

People

Years

2020 - 2021

Associated BioSamples

None/not available

Geographic coverage

United Kingdom

England

Lead time

Not applicable

Summary

Monthly nursing quality and safety key indicator data (numerator and denominator) across 3 hospital sites. Data prior and post migration to a new electronic health system (EHS) to enable the impact on patient safety and clinical quality to be measured.

Documentation

Background. Electronic Health Records (EHRs) embedded into hospital systems have been reported to have benefits including reductions in patient safety events.

The dataset includes the summarised performance of three key clinical indicators. These nursing indicators are based on clinical quality and patient safety. Data is provided prior and post migration to a fully integrated Electronic Health System (EHS) with monthly numerator and denominators. The data covers the implementation at three hospital sites in Birmingham. Further supporting data can be requested from PIONEER to analyse the impact on patient safety and key outcomes such a mortality, length of stay, escalation to intensive care and readmissions.

PIONEER geography: The West Midlands (WM) has a population of 5.9 million & includes a diverse ethnic & socio-economic mix.

Electronic Health Record. 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 & an expanded 250 ITU bed capacity during COVID. UHB runs a fully electronic healthcare record (EHR) (PICS Birmingham Systems) and this record includes the adoption of the EHR at two new hospital sites, a shared primary & secondary care record (Your Care Connected) & a patient portal “My Health”.

Scope: The dataset includes summarised data for performance of three clinical indicators, primarily:

  • Late/Missed Antibiotics – this is the prescribed dose administered on time, late or missed by ward area each month.

  • Late/Missed Non-Antibiotics – this is the prescribed medication (excluding antibiotics) which have been administered on time, administered late or missed by ward area each month.

  • 12 Hour Observations – a measure to assess that a patient has a full set of physiological observations taken every 12 hours. These include temperature, blood pressure, respiratory rate and oxygen saturations. The data within this dataset are only the compliance count, but PIONEER has full results available on request.

Available supplementary data: Matched controls 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, Measurements/Tests
Dataset sub-type
Not applicable
Dataset population size
9,639

Keywords

Acute Care, patient pathways, patient safety, Quality Outcomes, Admissions, Computerised Point of Entry System, Clinical efficiency, Electronic Health Records, Indicators, drugs, medicines, observations, blood pressure, pulse rate, oxygen saturations, Prescriptions, drug administrations, late doses, missed doses

Observations

Observed Node
Disambiguating Description
Measured Value
Measured Property
Observation Date

Persons

9,639 distinct patients

9639

Count

03 Nov 2021

Provenance

Purpose of dataset collection
Care
Source of data extraction
EPR
Collection source setting
Secondary care - In-patients, Secondary care - Accident and Emergency
Patient pathway description
Data is representative of the multi-ethnicity population within the West Midlands (42% non white). Data includes all patients admitted during this timeframe, with National data Opt Outs applied, and therefore is representative of admissions to secondary care. Data focuses on in-patient stay in hospital during the acute episode but can be supplemented on request to include previous and subsequent hospital contacts (including outpatient appointments) and ambulance, 111, 999 data.
Image contrast
Not stated
Biological sample availability
None/not available

Structural Metadata

Details

Publishing frequency
Quarterly
Version
1.0.0
Modified

08/10/2024

Distribution release date

03/11/2021

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

01/01/2020

End date

01/11/2021

Time lag
Other
Geographic coverage
United Kingdom, England, West Midlands
Minimum age range
17
Maximum age range
110
Follow-up
1 - 10 Years

Accessibility

Language
en
Alignment with standardised data models
LOCAL
Controlled vocabulary
SNOMED CT, ICD10, NHS NATIONAL CODES, LOCAL
Format
SQL

Data Access Request

Dataset pipeline status
Available
Time to dataset access
Not applicable
Access request cost
www.pioneerdatahub.co.uk/data/data-services-costs/
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-ENG
Data use limitation
General research use
Data use requirements
Project-specific restrictions
Data Controller
University Hospitals Birmingham NHS Foundation Trust

Dataset Types: Health and disease, Measurements/Tests


Collection Sources: No collection sources listed