Longitudinal hospital prescribing data for >48,000 deeply phenotyped patients

Background. The Healthcare Safety Investigation Branch (HSIB) published a report in 2020 reviewing the need to have a better method of identifying and preventing medication errors. 237 million medications errors occur in England per year. 5% of hospital admissions are related to medication errors, side effects or drug/drug interactions. Older patients, those with multiple long-term conditions and polypharmacy are most likely to experience the worse outcomes from medicine related harm. This dataset provides highly detailed medicine prescribing, indication, administration and patient outcome data, focusing on hospitalised patients in acute care. 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: All hospitalised patients in UHB Acute Medicine (AMU) and Emergency Departments (ED) from November 2017 to October 2020, curated to focus on medicines reconciliation. 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 and co-morbidities taken from ICD-10. Serial, structured data pertaining to acute care process (timings and wards). Along with presenting complaints, physiology readings (NEWS 2 and SEWS score). Includes all prescribed treatments, drug history, medication history and pharmacy interventions. 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 & load) process, Clinical expertise, Patient & end-user access, Purchaser access, Regulatory requirements, Data-driven trials, “fast screen” services.