Journal of the American Medical Informatics Association (JAMIA) Archive — Page 1 of 3
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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. -
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. -
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. -
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. -
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. -
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. -
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.