Department of Biomedical Informatics

April 15, 2021

Team analyzed clinical notes to identify COVID symptoms

At the start of the COVID-19 pandemic, public health authorities first had to identify and draw attention to common signs and symptoms of the disease.

By Paul Govern
April 1, 2021

COVID-19 met with intensive teamwork

Team members serving COVID-19 inpatients were more densely connected, interacting far more than their medical ICU counterparts.

By Paul Govern
March 19, 2021

COVID-19 and Cancer Consortium study highlights racial disparities, increased mortality for patients facing dual diagnoses

The COVID-19 and Cancer Consortium (CCC19) published new findings in the Annals of Oncology showing heightened mortality and racial disparities for patients with cancer diagnosed with SARS-CoV-2 infection.

By VUMC News and Communications
March 15, 2021

Artificial intelligence calculates suicide attempt risk at VUMC

A machine learning algorithm that predicts suicide attempt recently underwent a prospective trial at the institution where it was developed, Vanderbilt University Medical Center.

By Paul Govern
March 11, 2021

Genotype looms large in risk for post-op arrhythmia

Postoperative atrial fibrillation (PoAF), a form of arrhythmia, complicates 20-40% of cardiac surgical procedures and 10–20% of non-cardiac thoracic operations, cropping up two to four days after surgery to pose risk of stroke, heart attack, mortality, longer hospital stays and greater cost.

By Paul Govern
March 4, 2021

COVID-19 survey data added to All of Us platform

In December 2020, the federal government’s massive precision medicine research initiative, All of Us (AoU), made available to qualified researchers initial results from its ongoing COVID-19 Participant Experience (COPE) Survey, as well as physical activity and heart rate data collected from Fitbit devices worn by AoU participants.

By Paul Govern
February 25, 2021

Epic founder Faulkner highlights DBMI online seminar

The CEO and founder of one of the world’s largest electronic health record (EHR) vendors, Judith Faulkner of Epic Systems Corp., spoke about her company and answered questions recently at the Department of Biomedical Informatics weekly online seminar.
By Paul Govern
February 11, 2021

Grant supports speedy sorting of health records by phenotype

Wei-Qi Wei, MD, PhD, assistant professor of Biomedical Informatics and scientific director of the Precision Phenotyping Core at the Center for Precision Medicine, has been awarded a four-year, $1.7 million grant from the National Institutes of Health (grant GM139891) to continue
By Paul Govern
February 11, 2021

Ancker named vice chair for Educational Affairs in the Department of Biomedical Informatics

Health informatics expert and educator Jessica Ancker, PhD, MPH, has joined the Department of Biomedical Informatics as vice chair for Educational Affairs. Ancker comes from Weill Cornell Medical College and Weill Cornell Graduate School of Medical Sciences, where she was an associate professor.
By Mia Garchitorena-Scancarelli
January 21, 2021

Clinical informatics program accepting applications

Vanderbilt’s Master of Science in Applied Clinical Informatics program (MSACI) is now accepting applications for Fall 2021.
By Paul Govern
January 7, 2021

Building a cohort, the easy way

An automated system using keyword searches can help identify candidates for clinical trials on adverse drug reactions.
By Paul Govern
December 17, 2020

COVID-associated delays for elective services studied

This spring in the U.S., there were widespread delays in elective health care procedures and screenings. Hospitals, in observance of federal guidelines, were, for a time, conserving beds and protective equipment in preparation for a surge in COVID-19 admissions. And, perhaps on a more prolonged basis, patients in many areas of the country stayed away due to anxiety over catching COVID-19 from other patients or their health care team.
By Paul Govern
December 10, 2020

Model students: improving clinical decision-making

Vanderbilt investigators have devised a system to alert health IT teams to deteriorating performance in clinical prediction models.
By Paul Govern
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