Randolph Miller Accepts 2021 Morris F. Collen Award of Excellence at 2021 AMIA Symposium
November 3, 2021
Randolph Miller, MD, Emeritus Professor of Biomedical Informatics at the Vanderbilt University School of Medicine, accepted the 2021 Morris F. Collen Award of Excellence at the 2021 American Medical Informatics Association (AMIA) Annual Symposium in San Diego.
Watch the video below in case you missed the award ceremony!
Initiative Seeks to Improve Diversity of AI Research: Toufeeq Ahmed & Brad Malin
Paul Govern
October 27, 2021
This summer the National Institutes of Health (NIH) announced a new flagship initiative, the Artificial Intelligence/Machine Learning Consortium to Advance Health Equity and Researcher Diversity, or AIM-AHEAD.
JAMIA: Design & Evaluation of a Women in AMIA Leadership Program, Featuring Jessica Ancker
October 25, 2021
In an article in the Journal of the American Medical Informatics Association (JAMIA) featuring Jessica Ancker, PhD, MPH, MS, Vice Chair for Educational Affairs in DBMI, and other collaborators discussed launching the Women in AMIA Leadership Program.
Bennett Landman Awarded $2.6 Million Grant to Improve Alzheimer’s Patient MGMT
October 25, 2021
Bennett Landman, PhD, Chair of the Department and Professor of Electrical and Computer Engineering, received a $2.6 million NIH grant to improve the understanding of structural changes in the brains of people who have Alzheimer’s Disease. The goal is to identify opportunities for early intervention by developing more effective interventional strategies. Dr. Landman leads the four-year project.
Artificial Intelligence Predicts Opioid Overdose in Tennessee: Study by Colin Walsh
Paul Govern
October 20, 2021
Researchers at Vanderbilt University Medical Center and the Tennessee Department of Health (TDOH) have developed 30-day predictive models for fatal and non-fatal opioid-related overdose among patients receiving opioid prescriptions in the state.
The team applied machine learning techniques to statewide data sources that included details on 2,574 fatal and 8,455 non-fatal opioid-related overdoses occurring within 30 days of an opioid prescription. In all, the data involved just over 3 million patients and more than 71 million prescriptions for controlled substances.
AMIA Schedule (VCLIC Member Presentations)
October 20, 2021
The 2021 American Medical Informatics Association (AMIA) Annual Symposium will take place from October 30 to November 3, 2021, in San Diego.
Below is the speaker schedule for members of the Vanderbilt Clinical Informatics Center (VCLIC). Contact Elise Russo at elise.russo@vumc.org if you have any questions about VCLIC presentations.
DBMI Digest October 2021 Issue — Now Available!
October 15, 2021
The Vanderbilt University Medical Center (VUMC) Department of Biomedical Informatics's (DBMI) monthly newsletter, DBMI Digest, is now available to view. Read the October 2021 issue here.
Each DBMI Digest features department & faculty announcements, awards & appointments, educational & HR updates, funding opportunities and more. Each issue also includes a profile of one of our faculty, staff, postdocs and students.
Gretchen Purcell Jackson Named to "Women to Watch Class of 2021" by Nashville Medical News
Mia Garchitorena
October 12, 2021
Gretchen Purcell Jackson, MD, PhD, FACS, FACMI, FAMIA, Vice President and Chief Science Officer at IBM Watson Health and Associate Professor of Pediatric Surgery and Biomedical Informatics, was listed on the "Women to Watch Class of 2021" by Nashville Medical News. Cli
AMIA Seeking Female Volunteer Mentors for AMIA First Look Program - Applications Due 10/15
Allison McCoy
October 8, 2021
The Women in AMIA Committee will be hosting undergraduate women with an interest in informatics and/or STEM (Science, Technology, Engineering, Mathematics) to attend the 2021 AMIA Symposium “First Look” Program on October 31, 2021 in San Diego, CA. We are seeking female volunteer mentor guides.
JAMIA: AI Predicts Next-day Delirium or Coma in ICU Patients
Paul Govern
October 5, 2021
Critical care patients are prone to shift intermittently into delirium or coma without warning. A team at Vanderbilt University Medical Center used machine learning to predict the likelihood of next-day brain function status changes in these patients.
The team’s report appears in the Journal of the American Medical Informatics Association.