Journal of the American Medical Informatics Association

February 22, 2024

AI aids efforts to cut nuisance alerts for health care teams: study

A new study from Vanderbilt University Medical Center demonstrates the promise of artificial intelligence to help refine and target the myriad computerized alerts intended to assist doctors and other team members in day-to-day clinical decision-making.

By Paul Govern
January 2, 2024

Team uses COVID-19 to test automated acute disease profiling

An automated solution for creating phenotyping algorithms, PheNorm, worked well to identify symptomatic COVID-19 cases in electronic health records, suggesting that automation could speed high-throughput phenotyping of acute disease.

By Paul Govern
June 1, 2023

ChatGPT tested for clinical decision support

By Paul Govern
April 10, 2023

The problem with the problem list

Algorithms to infer missing problems and suggest that they be added to electronic health records improved problem list completeness, with benefits for clinical care, patient comprehension of health conditions and population health.

By Paul Govern
January 23, 2023

Machine learning predicts delirium

Using machine learning based on electronic health records of ICU patients predicted new-onset delirium with 82% sensitivity, Vanderbilt researchers found.

By Paul Govern
September 8, 2022

PheWAS reveals post-COVID-19 diagnoses

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.

By Bill Snyder
May 10, 2022

Report lays out solution for pandemic patient privacy

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.
By Paul Govern
March 24, 2022

VUMC Clickbusters program helps reduce EHR alerts

Vanderbilt's Clickbusters program is helping to stem alert fatigue associated with the Medical Center's clinical IT system.
By Paul Govern
February 10, 2022

Mobile app from VUMC supports field research around the world

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.
By Paul Govern
January 31, 2022

Impact of digital health interventions

Vanderbilt researchers test and recommend statistical approaches to study the association between engagement with digital health interventions and clinical outcomes.
By Leigh MacMillan
November 16, 2021

AI predicts 24-hour hospital discharge

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.
By Paul Govern
October 19, 2021

Artificial intelligence predicts opioid overdose in Tennessee

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.
By Paul Govern
September 30, 2021

AI predicts next-day delirium or coma in ICU patients

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.
By Paul Govern
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