Journal of the American Medical Informatics Association Archives
Machine learning predicts delirium
Jan. 23, 2023—Using machine learning based on electronic health records of ICU patients predicted new-onset delirium with 82% sensitivity, Vanderbilt researchers found.
PheWAS reveals post-COVID-19 diagnoses
Sep. 8, 2022—Using a high-throughput informatics technique and electronic health records, Vanderbilt researchers found that COVID-19 survivors had an increased risk for more than 40 new diagnoses.
Report lays out solution for pandemic patient privacy
May. 10, 2022—Health information privacy experts at Vanderbilt University Medical Center, the University of Texas at Dallas and IBM have collaborated on a public case reporting framework keyed to the dynamics of pandemics.
VUMC Clickbusters program helps reduce EHR alerts
Mar. 24, 2022—Vanderbilt's Clickbusters program is helping to stem alert fatigue associated with the Medical Center's clinical IT system.
Mobile app from VUMC supports field research around the world
Feb. 10, 2022—In 2015 a team at Vanderbilt launched the Research Electronic Data Capture (REDCap) Mobile Application. As of a year ago, the app had been enabled by 802 organizations around the world and had been used for 9,871 projects involving 19,636 end-users.
Impact of digital health interventions
Jan. 31, 2022—Vanderbilt researchers test and recommend statistical approaches to study the association between engagement with digital health interventions and clinical outcomes.
AI predicts 24-hour hospital discharge
Nov. 16, 2021—Vanderbilt researchers used a machine learning algorithm and data from more than 26,000 hospital stays to predict who would and would not be discharged over the next 24 hours.
Artificial intelligence predicts opioid overdose in Tennessee
Oct. 19, 2021—Researchers at Vanderbilt and the Tennessee Department of Health have developed 30-day predictive models for fatal and non-fatal opioid-related overdose among patients receiving opioid prescriptions in the state.
AI predicts next-day delirium or coma in ICU patients
Sep. 30, 2021—A team at Vanderbilt University Medical Center used machine learning to predict the likelihood of next-day brain function status changes in critical care patients.
Strength in numbers
May. 3, 2021—Voluntary data sharing across a region’s health systems and ambulatory care practices is important for measuring and improving health care quality and safety, Vanderbilt researchers report.
Building a cohort, the easy way
Jan. 7, 2021—An automated system using keyword searches can help identify candidates for clinical trials on adverse drug reactions.
Model students: improving clinical decision-making
Dec. 10, 2020—Vanderbilt investigators have devised a system to alert health IT teams to deteriorating performance in clinical prediction models.
