Department of Biomedical Informatics
Feb. 11, 2021—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 to continue development of high-throughput software for quickly identifying traits of interest, or phenotypes, in electronic health records (EHRs).
Jan. 7, 2021—An automated system using keyword searches can help identify candidates for clinical trials on adverse drug reactions.
Dec. 10, 2020—Vanderbilt investigators have devised a system to alert health IT teams to deteriorating performance in clinical prediction models.
Sep. 21, 2020—What users mention in online weight loss forum tracks with how much weight they lose.
Aug. 27, 2020—Taking an interest in electronic message threads between surgical patients and their health care teams, a research group at Vanderbilt University Medical Center has tested how well certain commonly used machine learning algorithms can classify such exchanges according to their clinical decision-making complexity.
May. 14, 2020—Zhijun Yin, PhD, assistant professor of Biomedical Informatics at Vanderbilt University Medical Center, has received the National Cancer Institute’s Method to Extend Research in Time Award (or MERIT Award) for Early Stage Investigators.
Dec. 12, 2019—A computational method that uses hospital billing codes and electronic health records can identify genetic disease cases before clinical teams do.
Nov. 19, 2019—Obesity and two post-operative complications linked with it have associated genetic variants in common, suggesting that obesity may be the culprit.
Nov. 4, 2019—Simulated electronic health records could avoid patient privacy risks and help speed discovery.
Oct. 7, 2019—Machine learning on unlabeled electronic health record data has shed light on the emergence of cardiovascular disease.
Oct. 7, 2019—IT security measures implemented following data breaches at hospitals may delay care when time is of the essence, according to a new analysis.
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.