Specialist Dataset

Socioeconomic and Environmental Factors and Outcomes of Acutely Unwell Patients

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Social and environmental determinants of health are of critical importance, but are rarely captured in health data.  To address this, PIONEER have curated a highly granular dataset of 8,803 spells admitted to Intensive care unit. The dataset not only includes detailed demography, presenting symptoms, comorbidities, serial physiology and acuity, all investigations and treatments (including all medicines, their doses and routes) but also all ventilatory parameters.  This is mapped on an individual patient level to weather data, geolocation and measures of social deprivation. The current dataset includes admissions from 01-02-2020 to 28-02-2022 but can be expanded to assess other timelines of interest.
Geography: The West Midlands (WM) has a population of 6 million & includes a diverse ethnic & socio-economic mix. 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 & > 120 ITU bed capacity. 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”. 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: Matched controls; ambulance and community data. Unstructured data (images).  We can provide the dataset in OMOP and other common data models and can build synthetic data to meet bespoke requirements. 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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