Patient misidentification is an all too common cause of medical error. 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.

Out of concern for fetal safety, pregnant people have typically been excluded from drug trials. And when human health is on the line, drug studies assessing fetal safety in animal models may be viewed as far from definitive.

Electronic health records and biobanks can be effectively combined to detect and study Mendelian diseases such as cystic fibrosis.

Out of the electronic health records (EHRs) of patients seen at Vanderbilt University Medical Center, a team in the Department of Biomedical Informatics is creating a COVID-19 patient registry as a platform for research.

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.

The intersection of genetics and electronic health records will be discussed by two Vanderbilt University researchers during a Cutting-Edge Discovery Lecture on Thursday, Jan. 30. The lecture will begin at 4 p.m. in 208 Light Hall.

An international research team has discovered a new genetic syndrome caused by mutation of a single gene and named it CATIFA, an acronym for its core symptoms.