Tag: antibiotics

BetterRx utilises primary care electronic health records of frail and elderly (65 years+) people in the UK; containing basic patient demographics, medical history, prescription history and linked outcomes (hospitalisations and mortality).

The Ophthalmic Prescription Dataset at Moorfields Eye Hospital NHS Foundation Trust is a longitudinal dataset consisting routinely collected patient data from 2016 to the present. This dataset has in excess of 1.8M prescriptions.

Over 100K patients hospitalised with Community Acquired Pneumonia (CAP) from January 2000. Granular care pathways. Serial physiology, blood biomarkers, outcome data. Deeply phenotyped. Multi morbidity, investigations, interventions and outcomes.

Acute presentations of UTIs (2000 to date). Deeply phenotyped, longitudinal granular data. Serial acuity, physiology, microbiology cultures, blood parameters, treatments, interventions, outcomes. Presenting complaints. Catheterisation status.

Deeply phenotyped data on patients hospitalised with COPD with and without other conditions to map pathways and outcomes. Granular multi-morbidity data, investigations, investigations and treatments. Serial physiology, laboratory results, outcomes.

Deeply phenotyped data on COVID-19 hospital patients with multi-morbidities requiring/at risk of requiring ventilatory support: This includes investigations, with serial biomarkers, ITU spells, interventions undertaken and outcomes.

Demography, physiology, injury status, muscle and blood biomarkers for Acute compartment syndrome patients, including intra-compartmental pressure and tissue oxygenation data alongside clinical observations and treatments.

Patients with hospital and ventilator acquired pneumonia (HAP) from 2000 to date. Granular care pathways. Multi-morbidity, investigations, interventions and treatments. Serial physiology, blood biomarkers, outcome data. Deeply phenotyped. Large cohor ...

Longitudinal routine data for 128,000 admissions to hospital as an emergency from a care home; including treatments, interventions, ITU admissions and outcomes. Deeply phenotyped longitudinal data including serial physiology, blood biomarkers.

Hospital COVID patients 6.01.2020-20.08.2020). Granular severity, ethnicity, co-morbidity. Serial acuity, physiology, blood biomarkers, treatments, ITU, outcome. Deeply phenotyped, longitudinal. OMOP dataset: Hospital COVID patients: severity, acuit ...

A deeply phenotyped dataset of hospitalised COVID-19 patients in Birmingham; including granular ethnicity and multi-morbidity data confirmed in primary care; physiology, blood biomarkers, treatments, interventions, ITU admissions and outcomes. PIONEE ...

Hospital COVID patients (6th Jan 2020 onwards). Granular severity, ethnicity, co-morbidity. Serial physiology, blood biomarkers, images, treatments, ITU, outcome, pre/post admission healthcare use. Deeply phenotyped, longitudinal. Waves 1/ 2 PIONEER ...

A deeply phenotyped dataset of hospitalised patients undergoing an emergency or elective cholecystectomy. Longitudinal granular demographics, co-morbidities, laboratory results, physiology, medications, complications including sepsis and outcomes.

Hospitalised sepsis patients (2000-2020) by cause. Deeply phenotyped, longitudinal. Granular ethnicity and multi-morbidity. Serial acuity, physiology, blood parameters, treatments, interventions, ITU spells, outcomes, pre and post sepsis healthcare ...

CAP is common, has variable outcomes and a complex management pathway. Hospital-based decision support algorithms would be highly valuable. This is a diverse and realistic synthetic dataset of 15,000 “CAP patients” to facilitate algorithm development ...

Deeply phenotyped dataset of longitudinal prescribing data for >48,000 patients from 2017 onwards. Investigation, intervention and treatment data. Granular co-morbidities, serial physiology readings, blood biomarkers with outcome data.