Cholecystectomy is a common surgical procedure to remove the gall bladder, with over 1.2 million procedures performed in the USA each year. The most common indication is recurrent gall stones. The main operative incidents are haemorrhage, iatrogenic perforation of the gallbladder, and common bile duct (CBD) injuries. The main post-operative complications are sepsis, sub-hepatic abscess, haemorrhage, bile leakage and retained bile duct stones, with sepsis the most common post-operative complications.

Sepsis post-surgery is costly to the individual, associated with a reduced quality of life, increased length of stay, pain, loss of function and mortality. Although risk factors for developing sepsis are recognised, these cannot be applied at an individual level, making it difficult to predict who might develop sepsis, in order to implement mitigation strategies.

This dataset includes 9, 400 individual surgical cases for cholecystectomy, including both elective and emergency surgery. The data includes detailed patient demography, measures of socio-economic deprivation, co-morbidities, the surgical indication, all physiological and pathological measurements, the surgery performed, anaesthetic used, medications given, complications and outcomes.

PIONEER geography: The West Midlands (WM) has a population of 5.9 million & includes a diverse ethnic & socio-economic mix.

Electronic Health Record: 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 & an expanded 250 ITU bed capacity during COVID. 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”.

Scope: Patients that had an emergency or elective Cholecystectomy procedure during their hospital stay. Longitudinal & individually linked, so that the preceding & subsequent health journey can be mapped & healthcare utilisation prior to & after admission understood. The dataset includes highly granular patient demographics, co-morbidities taken from ICD-10 & SNOMED-CT codes. Serial, structured data pertaining to process of care (timings, admissions, wards), presenting complaint, physiology readings (e.g. heart rate, blood pressure, respiratory rate, NEWS2 score and oxygen saturations), Lab analysis results (Alanine Transferase, albumin, EGFR, Creatine Kinase, White Blood Cells and others), microbiology results, surgery, medications, complications and all outcomes.

Available supplementary data: Matched controls ambulance, OMOP data, synthetic data.

Available supplementary support: Analytics, Model build, validation & 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.