Bookmarks
UHB 100K Genomics patient clinical data including their acute care contacts
Population Size
3,637
People
Years
2000 - 2020
Associated BioSamples
None/not available
Geographic coverage
United Kingdom
England
Lead time
1-2 months
Summary
Documentation
1 in 17 people are born with or develop a rare disease during their lifetime. 80% of rare diseases have an identified genetic component. However, there are usually significant diagnostic delays. The 100k Genome project was established to collect clinical data, genomic sequencing and samples from people with cancer and rare diseases, to better understand disease and find novel treatments and interventions. This includes rare cardiovascular, ciliopathy, endocrine, gastroenterological, haematological, metabolic, neurological, renal, respiratory skeletal and rheumatological disorders and cancers.
The PIONEER University Hospital Birmingham (UHB) secondary care 100k genomics dataset contains granular demographic, morbidity, treatment and outcome data, supplemented with acute care contacts with serial physiology, blood biomarker data from UHB patients recruited to this programme, to better understand the acute healthcare needs of this group of patients.
PIONEER geography: The West Midlands has a population of 5.9M and includes a diverse ethnic and socio-economic mix. There is a higher than average percentage of minority ethnic groups and a higher than average proportion of patients with rare diseases. Birmingham is home to the first Centre for Rare Diseases for adults and children, treating more than 500 rare diseases and 9000 patients per year.
Electronic Health Records: University Hospitals Birmingham NHS Foundation Trust (UHB) is one of the largest NHS Trusts in England, providing direct acute services and specialist care across four hospital sites, with 2.2M patient episodes per year, 2750 beds and 100 ITU beds.
Scope: All patients recruited to the 100K genome project from UHB. This includes all routinely collected health data for all these patients, but data is uniquely supplemented with all acute care contacts through UHB. The dataset includes highly granular patient demographics and co-morbidities taken from ICD-10 and SNOMED-CT codes. Serial, structured data pertaining to acute care process (timings, staff grades, specialty review, wards), presenting complaint, acuity, all physiology readings (pulse, blood pressure, respiratory rate, oxygen saturations), all blood results, microbiology, all prescribed and administered treatments (fluids, antibiotics, inotropes, vasopressors, organ support), all outcomes.
Available supplementary data: Matched controls; ambulance, synthetic data. Available supplementary support: Analytics, Model build, validation and refinement; A.I.; Data partner support for ETL process, Clinical expertise, Patient and end-user access, Purchaser access, Regulatory requirements, Data-driven trials, “fast screen” services.
Dataset type
Dataset sub-type
Dataset population size
Keywords
Observations
Observed Node | Disambiguating Description | Measured Value | Measured Property | Observation Date |
---|---|---|---|---|
Persons | 3637 patients recruited to the 100,000 Genomic project within the West Midlands including rare diseases and cancers. | 3637 | COUNT | 18 Dec 2019 |
Provenance
Purpose of dataset collection
Source of data extraction
Collection source setting
Patient pathway description
Image contrast
Biological sample availability
Structural Metadata
Details
Publishing frequency
Version
Modified
08/10/2024
Distribution release date
30/09/2020
Citation Requirements
Coverage
Start date
01/01/2000
End date
04/05/2020
Time lag
Geographic coverage
Maximum age range
Follow-up
10 Years
Accessibility
Language
Alignment with standardised data models
Controlled vocabulary
Format
Data Access Request
Dataset pipeline status
Time to dataset access
Access request cost
Access method category
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
Data use limitation
Data use requirements
Data Controller