5 results match your criteria: "Tiger Institute for Health Innovation[Affiliation]"

Objective: To identify differences in short-term outcomes of patients with coronavirus disease 2019 (COVID-19) according to various racial/ethnic groups.

Design: Analysis of Cerner de-identified COVID-19 dataset.

Setting: A total of 62 health care facilities.

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Background: To identify whether the risk of intracerebral hemorrhage is higher in patients with coronavirus disease 2019 (COVID-19), we compared the risk factors, comorbidities, and outcomes in patients intracerebral hemorrhage and COVID-19 and those without COVID-19.

Methods: We analyzed the data from the Cerner deidentified COVID-19 data set derived from 62 health care facilities. The data set included patients with an emergency department or inpatient encounter with discharge diagnoses codes that could be associated with suspicion of or exposure to COVID-19 or confirmed COVID-19.

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Subarachnoid Hemorrhage and COVID-19: An Analysis of 282,718 Patients.

World Neurosurg

July 2021

Institute for Data Science and Informatics, University of Missouri, Columbia, Missouri, USA; Department of Medicine, University of Missouri, Columbia, Missouri, USA; Department of Electrical Engineering and Computer Science, University of Missouri, Columbia, Missouri, USA.

Background: Intracranial hemorrhage (including subarachnoid hemorrhage [SAH]) has been reported in 0.3%-1.2% of patients with coronavirus disease 2019 (COVID-19).

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Acute Ischemic Stroke and COVID-19: An Analysis of 27 676 Patients.

Stroke

March 2021

Institute for Data Science and Informatics (W.I.B., M.R., C.-R.S.), University of Missouri, Columbia.

Background And Purpose: Acute ischemic stroke may occur in patients with coronavirus disease 2019 (COVID-19), but risk factors, in-hospital events, and outcomes are not well studied in large cohorts. We identified risk factors, comorbidities, and outcomes in patients with COVID-19 with or without acute ischemic stroke and compared with patients without COVID-19 and acute ischemic stroke.

Methods: We analyzed the data from 54 health care facilities using the Cerner deidentified COVID-19 dataset.

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Background: The Google Glass™ heads-up-display system has been adopted by the medical field for applications such as image capture, live streaming and decision support.

Methods: We designed a custom application for Google Glass™ called Surgery Viewer to capture patient images and securely transfer them to the electronic medical record. Surgery Viewer was compared to a standard digital camera and an Apple iOS device using another image capture application.

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