Readable research linked to original sources
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Browse normalized, publication-ready research with direct links to its evidence and source.
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Readable research linked to original sources
Browse normalized, publication-ready research with direct links to its evidence and source.
Loading articles data…
Readable research linked to original sources
Browse normalized, publication-ready research with direct links to its evidence and source.
6 articles
Newest firstObjectivesTo evaluate the value of linked electronic health records (EHRs) for measuring stroke care quality in England before and after the COVID-19 pandemic, focusing on metrics not routinely captured: stroke incidence, dispensing of secondary prevention medications, and a proxy of disability--time spent at home after stroke ("home-time"). DesignProspective cohort study using national linked datasets. SettingEng…
Open article record in new tab ↗BackgroundIdentifying clusters of people with similar patterns of Multiple Long-Term Conditions (MLTC) could help healthcare services to tailor management for each group. Large Language Models (LLMs) can utilise complex longitudinal electronic health records (EHRs) which may enable deeper insights into patterns of disease. Here, we develop a pipeline, incorporating an LLM, to generate gender-specific clusters usin…
Open article record in new tab ↗ObjectivesAssessment of age, sex and smoking-specific risk of cancer diagnosis and non-cancer mortality following primary care consultation for 15 new-onset symptoms. Methods and analysisData on patients aged 18-99 in 2007 - 2017 were extracted from a UK primary care database (CPRD Gold), comprising a randomly-selected reference group and a symptomatic cohort of patients presenting with one of 15 new onset symptom…
Open article record in new tab ↗BackgroundUpdatable understanding of the onset and progression of individuals COVID-19 trajectories underpins pandemic mitigation efforts. In order to identify and characterize individual trajectories, we defined and validated ten COVID-19 phenotypes from linked electronic health records (EHR) on a nationwide scale using an extensible framework. MethodsCohort study of 56.6 million people in England alive on 23/01/…
Open article record in new tab ↗BackgroundNon-pharmacological interventions were introduced based on modelling studies which suggested that the English National Health Service (NHS) would be overwhelmed by the COVID-19 pandemic. In this study, we describe the pattern of bed occupancy across England during the first wave of the pandemic, January 31st to June 5th 2020. MethodsBed availability and occupancy data was extracted from daily reports sub…
Open article record in new tab ↗Electronic Health Records (EHR) are data generated during routine interactions across healthcare settings and contain rich, longitudinal information on diagnoses, symptoms, medications, investigations and tests. A primary use-case for EHR is the creation of phenotyping algorithms used to identify disease status, onset and progression or extraction of information on risk factors or biomarkers. Phenotyping however i…
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