What data do we have?

An NIHR TRC dataset of >50,000 bronchiectasis admissions with details of specialist care, including demography, serial physiology, lung function data, presenting symptoms, procedures, imaging, microbial cultures, prescriptions and medications.

A synthetic dataset features patient-level information for 683 cancer patients treated with checkpoint inhibitors, including demographics, primary cancer diagnoses, details of ICI treatments, and other clinical records during hospital admissions.

Highly granular data for 11.3k admissions over an 8-year period to A&E for deliberate self-poisoning. Data includes demography, diagnostic codes, type of overdose, therapies, time in A&E. Outcomes including referral to specialist mental health services.

This dataset comprises 181,207 acute asthma admissions and geographically linked DEFRA air pollution data over 6-years including a clean air zone in 2021. Demographics, admissions, serial physiology, diagnostic codes, symptoms, medications and outcomes.

Longitudinal data for >40,000 patients presenting acutely with multimorbidity including demographics, comorbidities, serial physiology, frailty scores, blood results, medications, drug allergies, treatments, procedures and 12-month mortality.

Detailed dataset of >860 patients following a renal transplant on immunosuppressive treatments curated by PIONEER (Jan 2000 to Jul 2024). Granular pathways. Deeply phenotyped. Serial physiology, blood markers, demography, outpatient data and outcomes.

Synthetic data replicating 20,000 ethnically diverse hypertrophic cardiomyopathy patients: This includes clinical and biological phenotyping, co-morbidities, investigations (including ECG, ECHO), any procedures undertaken and outcomes.

Longitudinal data (>10-years) for >70,000 patients, including accrual of comorbidities, acute admissions and outcomes, detailed demographics, ICD-10 codes, and time-stamped acute care data including acuity, physiology, investigations, and medicines.

Detailed dataset of >3.5k patients with hospitalised Primary Biliary Cholangitis (March 2000 to January 2024). Granular care pathways. Deeply phenotyped. Serial physiology, blood markers. Demography, investigations, treatments and outcomes.

Highly granular dataset of 1,000 cancer patients treated with checkpoint inhibitors, tracking acute healthcare visits, demographics, side effects, physiology, blood results, outpatient activity, consultations, prescriptions, treatments, and survival.

An HDRUK QQ2 highly granular longitudinal dataset of 10,908,440 admissions matching DEFRA air pollution data to acute care presentations, including demographic data, acuity, presenting complaint and symptoms, respiratory data, medications and outcomes.

An NIHR Birmingham Biomedical Research Centre dataset of 21,581 intensive care admissions including demographic data, severity scores (APACHE, SAPS, SOFA) with investigations, serial physiology, treatments, and outcomes up to one year post admission.

An NIHR Midlands Patient Safety Research Centre dataset of 168,706 diabetic emergencies and acute admissions associated with diabetes-related health concerns, including demographic data with investigations, serial physiology and outcomes.

A National Institute for Health and Care Research (NIHR) Birmingham Biomedical Research Centre (BRC) dataset featuring serial NT-proBNP measurements from a diverse cohort of Intensive Care patients with sepsis, ARDS, and polytrauma.

A PIONEER, NIHR Midlands Patient Safety Research Collaborative and NIHR Applied Research Collaboration West Midlands dataset of 27,526 patients with suspected/confirmed thromboembolic events including demographics, physiology, test results and outcomes.

The incidence of blood clots in the lungs (PE) or limbs (DVT) is estimated to be approximately 50–150 per 100,000 people and in the UK, around 60,000 cases of PE and 200,000 cases of DVT are reported each year. However, despite the significant progress, diagnosing PE and DVT remains a challenge. This large synthetic data with up to 14.5k patients of both suspected and diagnosed thromboembolic events provides key parameters to support critical research into the condition. 

Acute compartment syndrome (ACS) is an emergency orthopaedic condition wherein a rapid rise in compartmental pressure compromises blood perfusion to the tissues leading to ischaemia and muscle necrosis.  In this dataset, highly granular synthetic data of over 900 patients with ACS is shown to provide the key parameters to support critical research into this condition. 

Frailty is a critical measure in health care for evidence-based clinical decision making. An accurate electronic Frailty Index (eFI) at admission will be beneficial to both patients and medical service for prompt and appropriate assessment and management in acute care. An eFI that was derived from 31 routinely collected test results showed that it has promising identification power for high-risk frailty patients in aged cohort (>65), indicating the potential of a simpler and more efficient model for frailty estimation.

Tuberculosis (TB) remains a significant global health problem. The UK has one of the highest rates of TB in Europe, and Birmingham and the West Midlands are hotspots, with over 300 cases of active disease and approximately 10 times that of new latent infections diagnosed each year.

Same Day Emergency Care (SDEC) is beneficial for patients, as hospital admission and its associated risks can be avoided. This dataset includes all acute medical admissions to University Hospitals Birmingham NHS Trust (UHB) from January 2004 to September 2020 onwards.

Chronic respiratory diseases remain one of the leading causes of death from non-communicable disease, with the majority of deaths due to Chronic Obstructive Pulmonary Disease (COPD). COPD presents a significant healthcare burden and is detrimental to quality of life. Currently, there are no disease modifying treatments.

This dataset explores the impact of hospitalisation and service use in patients with COPD during the COVID pandemic.

Frailty is a syndrome of increased vulnerability to incomplete resolution of homeostasis following a stressor event and it is associated with poor outcomes including increased mortality and reduced quality of life. Prevalence increases with age, but it should not be considered an inevitable consequence of ageing.

Early warning systems (EWS) are bedside tools used to assess basic physiological parameters to identify patients with potential or established critical illness.

Coagulopathies and bleeding disorders can reflect hereditary conditions such as Haemophilia or von Willebrand disease, be associated with other diseases such as liver conditions, sepsis, trauma or be iatrogenic, related to therapies or their side effects.

Acute respiratory failure is commonly encountered in the emergency department (ED). Early treatment can have positive effects on long-term outcome.

Acuity scores are composite scores which help identify patients who are more unwell to support and prioritise clinical care.

Some individuals experience severe manifestations of infection, including adult respiratory distress syndrome (ARDS) and death.

Chronic obstructive pulmonary disease (COPD) is a debilitating lung condition characterised by progressive lung function limitation.

Sepsis is life-threatening organ dysfunction due to a dysregulated host response to infection and is a global health challenge.

Coronavirus disease 2019 (COVID-19) was identified in January 2020. Currently, there have been more than 6 million cases& more than 1.5 million deaths worldwide.

The Society for Acute Medicine (SAM) Benchmark Audit (SAMBA) is a national benchmark audit of acute medical care.

The Society for Acute Medicine (SAM) Benchmark Audit (SAMBA) is a national benchmark audit of acute medical care.

Chronic obstructive pulmonary disease (COPD) is a debilitating lung condition characterised by progressive lung function limitation.

In December 2019, the first case of severe acute respiratory syndrome coronavirus 2 (SARS-COV-2) was described and by March 2020, the World Health Organization had declared the disease a pandemic. 

Coronavirus disease 2019 (COVID-19) was identified in January 2020. Currently, there have been more than 6 million cases & more than 1.5 million deaths worldwide.