Version: 1.0.0 | Published: 24 Mar 2026 | Updated: 16 days ago
Summary
Description:
Hospital patient acuity scores from 2018 onwards. Granular condition, ethnicity, multi-morbidity. Deeply phenotyped. Serial physiology, blood biomarkers, interventions, longitudinal, pre/post admission healthcare use.
Access Tier:
Controlled
Contact Point:
Health Theme:
- Noncommunicable diseases – metabolic & cardiopulmonary
- Respiratory infectious diseases
Health Category:
Electronic Health Records (EHRs)
Number of Unique Individuals:
242629
Documentation
Documentation:
Background
Early warning systems (EWS) are bedside tools used to assess basic physiological parameters to identify patients with potential or established critical illness. Evidence suggests that they may predict risk of intensive care admission, death and length of hospital stay. In 2017, the Royal College of Physicians (RCP) published an updated National Early Warning Score, referred to as NEWS2, based upon six physiological parameters (heart rate, blood pressure, respiratory rate, peripheral oxygen saturations, temperature and level of consciousness). It is associated with specific clinical response recommendations in which a step change occurs at a threshold NEWS2 score >5, requiring an urgent clinical response no matter what the presenting complaint or condition.
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: Serial NEWS2 scores of acutely unwell patients recorded during their hospital stay with each individual component of NEWS2 reported. 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, co-morbidities taken from ICD-10 and SNOMED-CT codes. Serial, structured data pertaining to process of care (timings, admissions), presenting complaint, physiology readings (e.g. heart rate, blood pressure, respiratory rate, NEWS2 score and oxygen saturations), Lab analysis results (Alanine Transferase, albumin, Hb, Creatine Kinase, White Blood Cells and others), microbiology results, medications and all outcomes.
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 and load) process, Clinical expertise, Patient and end-user access, Purchaser access, Regulatory requirements, Data-driven trials, “fast screen” services.
Coverage
Spatial
Spatial Coverage:
- United Kingdom
- England
- West Midlands
Temporal
Start Date:
01 January 2018
End Date:
01 February 2022
Frequency:
QUARTERLY
Date of Latest Release:
07 April 2022
Date of First Release:
08 October 2024
Temporal Aggregation:
1 - 10 Years
Provenance
Origin
Purpose:
Care
Collection Situation:
- Secondary care - Accident and Emergency
- Secondary care - Outpatients
- Secondary care - In-patients
Image Contrast:
Not stated
Method of Collection:
EPR
Access and Governance
Usage
Data Use Requirements:
Project specific restriction
Access
Jurisdiction:
England
Data Controller:
University Hospitals Birmingham NHS Foundation Trust
Delivery Lead Time:
1-2 months
Legal Basis:
General research use
Health Data Access Body:
This publication uses data from PIONEER, an ethically approved database and
analytical environment (East Midlands Derby Research Ethics 20/EM/0158)
Format and Standards
Language:
English
Format:
SQL
Conforms To:
LOCAL
Coding System:
- SNOMED CT
- ICD10
Data Distribution
Data Status:
Available
Distribution:
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.,
www.pioneerdatahub.co.uk/data/data-services-costs/
Observations
Name
Population Type
Value
Description
Variable Measured
Unit Code
Observation Date
Number of Records
Minimum Typical Age
Maximum Typical Age
Persons
242629
242,629 acute admissions with a NEWS2 score between 01/01/2018 and 01/02/2022
Count
07 April 2022
242629
20
95
Origin
Name:
Data Catalogue