Dr. Kevin Johnson, DBMI Chair, and Elizabeth Brown, DBMI Chief Business Officer would like to extend their welcome to the new employees that have joined the department this year. Welcome to: Danyel Campbell
In low- and middle-income countries, free, open-source facial recognition software could provide an economical solution for verifying patient identity across health care settings, according to a study by Martin Were, MD, MS, and colleagues, appearing in the International Journal of Medical Informatics.
A team in the Department of Biomedical Informatics is creating a COVID-19 patient registry as a platform for research out of the electronic health records (EHRs) of patients seen at Vanderbilt University Medical Center. For the full article click here as reported by Paul Govern, News and Communications.
The COVID-19 national emergency has led to surging care demand and the need for unprecedented telehealth expansion. Rapid telehealth expansion can be especially complex for pediatric patients. From the experience of a large academic medical center, this report describes a pathway for efficiently increasing capacity of remote pediatric enrollment for telehealth while fulfilling privacy, security, and convenience concerns. To see the JAMIA article click here.
Lisa Bastarache, MS, research assistant professor of Biomedical Informatics, and Tony Capra, PhD, associate professor of Biological Sciences and Biomedical Informatics, described the intersection of genetics and electronic health records during last week’s Cutting-Edge Discovery Lecture. For the full article, click here.
The primary idea driving clinical informatics is that we should use computerized information systems to help people make better clinical decisions,” said Adam Wright, PhD, who joined Vanderbilt last August as director of clinical decision support and the new Vanderbilt Clinical Informatics Center (VCLIC). For the full article, click here.
With the help of a five-year, $2.7 million grant from the National Institute of Mental Health, researchers at Vanderbilt University Medical Center will use computational methods to shed light on suicidal ideation and its relationship to attempted suicide, predict suicidal ideation and suicide attempt using routine electronic health records (EHRs) and explore the genetic underpinnings of both. For full article click here,