Objective We extended a 2013 literature review on electronic health record (EHR) data
quality assessment approaches and tools to determine recent improvements or changes in …

• Multidisciplinary partnership between technical experts and end-users, including clinicians,
administrators, and patients and their families, is essential to developing and implementing …

BACKGROUND: Patient characteristics, clinical care, resource use and outcomes
associated with admission to hospital for coronavirus disease 2019 (COVID-19) in Canada …

Background Osmotic demyelination syndrome (ODS) is a rare but potentially devastating
neurologic complication of hyponatremia. The primary objective of this study was to identify …

A firm concept of time is essential for establishing causality in a clinical setting. Review of
critical incidents and generation of study hypotheses require a robust understanding of the …

Background Delirium is an acute neurocognitive disorder that affects up to half of older
hospitalized medical patients and can lead to dementia, longer hospital stays, increased …

Summary Background Machine Learning (ML) has demonstrated its great potential on
medical data analysis. Large datasets collected from diverse sources and settings are …

Background: Disability-related considerations have largely been absent from the COVID-19
response, despite evidence that people with disabilities are at elevated risk for acquiring …

Background Identifying venous thromboembolism (VTE) from large clinical and
administrative databases is important for research and quality improvement. Objective To …

Background Methods to accurately predict the risk of in-hospital mortality are important for
applications including quality assessment of healthcare institutions and research. Objective …