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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 firstIntroductionHealth information exchanges (HIEs) provide the capability to electronically move health care information among different health care information systems and store these data for downstream use cases. However, use of data from HIEs for postmarketing surveillance of medical products is not previously explored. ObjectivesTo conduct a pilot descriptive study characterizing data from MyHealth Access Networ…
Open article record in new tab ↗BackgroundThe widespread adoption of electronic health records (EHRs) has resulted in the generation of large volumes of clinical notes. Learning algorithms and large language models (LLMs) train from these resources but are susceptible to noise--irrelevant or non-informative data from them. This sensitivity can lead to significant challenges, including performance degradation and the generation of inaccurate pred…
Open article record in new tab ↗BackgroundMortality is a critical variable in healthcare research, especially for evaluating medical product safety and effectiveness. However, inconsistencies in the availability and timeliness of death date and cause of death (CoD) information present significant challenges. Conventional sources such as the National Death Index (NDI) and electronic health records (EHRs) often suffer from data lags, missing field…
Open article record in new tab ↗ObjectiveTo evaluate the validity of death ascertainment from publicly available internet media (IM) sources by benchmarking against state and Federal vital statics data for patients in two large healthcare systems from the US. MethodsWe extracted names and dates of birth and death from publicly available data--including obituaries and memorial websites--using previously developed natural language processing model…
Open article record in new tab ↗PurposeWe aimed to describe the demographics, cancer subtypes, comorbidities and outcomes of patients with a history of cancer with COVID-19 from March to June 2020. Secondly, we compared patients hospitalized with COVID-19 to patients diagnosed with COVID-19 and patients hospitalized with influenza. MethodsWe conducted a cohort study using eight routinely-collected healthcare databases from Spain and the US, stan…
Open article record in new tab ↗BackgroundIn this study we phenotyped individuals hospitalised with coronavirus disease 2019 (COVID-19) in depth, summarising entire medical histories, including medications, as captured in routinely collected data drawn from databases across three continents. We then compared individuals hospitalised with COVID-19 to those previously hospitalised with influenza. MethodsWe report demographics, previously recorded…
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