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Assessing acuity scores – NEWS2 in acute illnesses with component markers
Hospital patient acuity scores from 2018 onwards. Granular condition, ethnicity, multi-morbidity. Deeply phenotyped. Serial physiology, blood biomarkers, interventions, longitudinal, pre/post admission healthcare use.
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Emergency hospital admissions in patients from care home settings
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.
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The impact of multimorbidity on care pathways during COPD hospitalisations
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.
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Longitudinal C-reactive protein concentrations in COVID-19: an OMOP dataset
CRP has been identified as a biomarker of importance in COVID. This OMOP dataset features highly granular health data from over 4500 patients with hospitalised COVID-19, including oxygen support and treatments given.
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The acute presentation of pregnant women to non-maternity Emergency departments
Patients admitted with a pregnancy related event. Granular care pathways. Multi-morbidity, investigations, interventions and treatments. Serial physiology, blood biomarkers, physiotherapy, outcome. Deeply phenotyped. Each year, there are audits to
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A dataset of monitored patient safety indicators in 3 acute hospital settings
Monthly nursing quality and safety key indicator data (numerator and denominator) across 3 hospital sites. Data prior and post migration to a new electronic health system (EHS) to enable the impact on patient safety and clinical quality to be measure
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A synthetic dataset of 15,000 "patients" with Community Acquired Pneumonia (CAP)
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
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A granular assessment of the day-to-day variation in emergency presentations
A granular dataset of over 65,000 emergency admissions, with detailed patient flow through hospital detailing day-to-day variation in case mix. Severity, demographics, multi-morbidity, completion of review, interventions, treatments and outcomes.
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Dallas Heart Study
The Dallas Heart Study (DHS) is a multi-ethnic, population-based probability sample of Dallas County designed to define the social and the biological variables contributingto ethnic differences in cardiovascular health at the community level and to s
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*ReputationScore indicates how established a given datasource is. Find out more.