… This study aims to predict death after COVID-19 using only the past medical information
routinely collected in electronic health records (EHRs) and to understand the differences in risk …

… In a situation like the COVID-19 pandemic, we in health systems need to be able to
produce high-quality data quickly, accurately, and consistently. However, our current EHR and …

… health record (EHR) data, since EHRs can be leveraged and scaled to improve clinical care,
research, and to inform public health … that are relevant to COVID-19, as witnessed in our 15 …

… Currently, there is limited data on risks, disparity, and outcomes for COVID-19 … health records
(EHRs) data of 73,099,850 unique patients, of whom 12,030 had a diagnosis of COVID-19. …

… to the difference we recently reported for COVID-19 patients with substance use disorder (45…
health records data up to June 15, 2020, we reported a higher death rate from COVID-19 …

… We conducted a cohort study using national primary care electronic health record data
linked to in-hospital COVID-19 death data (see Data Source). The cohort study began on 1st …

… health record data to address critical clinical and epidemiological questions about Coronavirus
Disease 2019 (COVID-19)… Data covered 27,584 COVID-19 cases with 187,802 laboratory …

… This study of EHRs of children and youth hospitalized for COVID-19 in 6 … with COVID-19
infection. Large-scale informatics-based approaches to integrate and analyze data across health …

… of physician burnout incident to the electronic health record (EHR), compounded by the stress
of managing the pandemic in the first year of COVID-19. Neither physician burnout nor the …

Background: Machine learning models require large datasets that may be siloed across
different health care institutions. Machine learning studies that focus on COVID-19 have been …