Tackling antimicrobial resistance is a priority for the World Health Organisation and national governments.  A challenge driving resistance is the inappropriate use of broad-spectrum antibiotics caused by diagnostic delays in identifying the cause of suspected infections.  Predictive models may support better antibiotic stewardship, but there is often a lack of time stamped data which maps timelines between presentation, symptoms, samples being sent and granular medication administration.

To address this, PIONEER, working with the NIHR Birmingham Biomedical Research Centre, has curated a highly granular dataset of 273,437 admissions including demography, presenting symptoms, co-morbidities, serial physiology, laboratory tests, diagnoses (ICD10, SNOMED CT), procedures (OPCS4), images, prescriptions and administrations (dose and route), microbiology results (including resistance patterns) and outcomes.

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 [email protected] 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.

Further information including technical details, coverage, format and standards, provenance and related resources can be found on the link below: https://healthdatagateway.org/en/dataset/997