Brad Malin Appointed to CDC’s Board of Scientific Counselors

Mia Garchitorena
April 30, 2021
Bradley Malin, PhD, FACMI, FAIMBE, FIAHSI, Professor of Biomedical Informatics, Biostatistics and Computer Science, has been appointed to the Board of Scientific Counselors of the National Center for Health Statistics of the U.S. Centers for Disease Control and Prevention (CDC) through 2024. 

Juan Zhao, Wei-Qi Wei & Colleagues Analyzed Clinical Notes to Identify COVID Symptoms

Paul Govern
April 20, 2021
vumc
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.  On Feb. 25, 2020, with 14 cases having been diagnosed in the U.S., the Centers for Disease Control and Prevention (CDC) initially went with fever, cough and shortness of breath. This brief official list of coronavirus disease symptoms remained unchanged until mid-April. 

COVID-19 Met with Intensive Teamwork: Story Featuring You Chen, Chao Yan & Colleagues

Paul Govern
April 20, 2021
vumc
As reported in the journal JMIR Human Factors, Chao Yan, You Chen, PhD, Assistant Professor in DBMI, and colleagues used electronic health records (EHRs) and network analysis to study teamwork in intensive care units at Vanderbilt University Medical Center.  As a starting point, they matched 38 patients admitted to the COVID ICU with 38 similar patients without COVID-19 admitted to the medical ICU. 

Kelly Hammonds

Kelly
Hammonds
Assistant to the Chair
Department of Biomedical Informatics
2525 West End Ave
Nashville
Tennessee
37203
k.hammonds@vumc.org

Kelly Hammonds has worked in healthcare administration for 22 years. She joined the Department of Biomedical Informatics in 2021 after spending 16 years in the field of Pathology. During the height of the COVID-19 pandemic, she transitioned away from clinical-facing roles and found her professional home within DBMI. In December 2023, she took on the role of Assistant to the Chair. Her responsibilities include supporting Dr. Peter Embi, assisting with faculty recruitment, event planning, organizing Grand Rounds, and providing general administrative support for the department.

10 DBMI Faculty Named 2021 Fellows of AMIA

Mia Garchitorena
April 15, 2021
vumc
Congratulations to the faculty members in the Department of Biomedical Informatics (DBMI), who were named Fellows of AMIA! They will be inducted into the FAMIA during the AMIA 2021 Virtual Clinical Informatics Conference. See the 10 inductees below:

Bennett A. Landman, PhD

Bennett
Landman
Professor
Department of Electrical and Computer Engineering
Chair
Department of Electrical and Computer Engineering
Professor
Computer Science
Professor
Biomedical Engineering
Professor
Psychiatry and Behavioral Sciences
Professor
Biomedical Informatics
Professor
Neurology
bennett.landman@vanderbilt.edu

Xingyi Guo, PhD

Xingyi
Guo
Associate Professor
Department of Medicine
Associate Professor
Department of Biomedical Informatics
xingyi.guo@vumc.org

Xingyi Guo, PhD, is an Associate Professor of Medicine in the Division of Epidemiology within the Department of Medicine at Vanderbilt University Medical Center. He is the Principal Investigator with the Guo Lab, affiliated with the VUMC Departments of Medicine and Biomedical Informatics. 

The Guo Lab has a broad interest in the research of cancer etiology, prevention and precision medicine through developing bioinformatics, statistical and machine learning approaches and integrating multi-omics data (including single cell-based omics data), with a major goal of identifying susceptibility variants and genes for human cancers. 

Education
PhD - Bioinformatics/Genomics - Zhejiang University, 2008
Fellowship - Bioinformatics/Functional Genomics - Albert Einstein College - 2013

Guo Lab website: http://www.guoxlab.org/

FORBES: "An Exciting, Surprisingly Imaginative, Techy Vision Of Telemedicine’s Future," featuring Yaa Kumah-Crystal

Michelle Greenwald, Forbes
April 13, 2021
yaa
Avatars, virtual waiting rooms, virtual scribes, in-home testing devices, "syndromatic" facial analysis using AI and machine learning, screen-sharing, and sentiment analysis...There are many exciting innovation possibilities on the horizon that will make telemedicine even more productive, informative, helpful and fun and personable, than current, in-person doctor visits.
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