Department of Biomedical Informatics Archives
Oct. 3, 2019—The HEAlth Data Science (HEADS) Center at Vanderbilt University Medical Center is undergoing a reorganization to further refine the center’s mission, and Christopher Lindsell, PhD, has been named a new co-director.
Oct. 2, 2019—Vanderbilt investigators have identified 13 previously unknown drug compounds that cause false positive screenings for amphetamines, buprenorphine (an opioid), cannabinoids and methadone.
Sep. 25, 2019—You Chen, PhD, has been awarded a four-year, $1.5 million research grant to study care coordination patterns and their influence on hospital length of stay and unplanned patient readmission.
Sep. 19, 2019—The University of Amsterdam has awarded the 2019 Spinoza Chair in medicine to Jeffrey Blume, PhD, associate professor of Biostatistics and Biomedical Informatics at VUMC.
Aug. 15, 2019—Fifteen years after it was launched, REDCap, Vanderbilt University’s research data management tool, has reached 1 million users throughout the world.
Jul. 25, 2019—A national study is seeking to determine whether genetic testing can help physicians choose the best drugs for their patients to relieve pain and depression.
Jul. 18, 2019—Next Up: Yaa Kumah-Crystal, a pediatric endocrinologist and informatician, wants computers to be as seamless in exam rooms as they are in other parts of life.
Jun. 20, 2019—Vanderbilt University Medical Center is forming a new Center for Improving the Public’s Health Using Informatics (CIPHI, pronounced “Sci Fi”) to be co-directed by Michael Matheny, MD, MS, MPH, and Melissa McPheeters, PhD, MPH.
Apr. 4, 2019—Over the past few decades the electronic health record (EHR) has become an object of intensive study, opening new ground in biomedical research. Natural language sections of the EHR, such as physician’s notes and health team messages, are a rich vein for research, but patient privacy considerations entail first scrubbing patient identifiers from these notes and messages. Historically, this has been accomplished through large, complex software systems that are expensive to develop and maintain.