Journal of the American Medical Informatics Association (JAMIA)

July 18, 2024

AI could help patients ask better questions of their care teams 

AI has proven better than doctors at drafting responses to written questions from patients. A new study suggests even greater advantages in using AI to help patients write more effective messages to their care teams.

By Paul Govern
(iStock image)
April 25, 2024

AI shows promise for clinical phenotyping

Researchers at Vanderbilt University Medical Center have demonstrated the potential for large language models like ChatGPT to help generate electronic health record phenotyping algorithms, a critical but time-consuming task in observational health research.

By Paul Govern
April 22, 2024

AI to doctors: Beat that! 

Artificial intelligence programs outperformed doctors at answering typical patient questions — suggesting they could be used to write first-draft responses and help speed doctors’ work.

By Paul Govern
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
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