Journal of the American Medical Informatics Association (JAMIA)

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.

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.

Interventions such as daily spontaneous waking trials can help patients avoid injuries associated with intensive care.

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.

Strength in numbers

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

An automated system using keyword searches can help identify candidates for clinical trials on adverse drug reactions.

Model students: improving clinical decision-making

Vanderbilt investigators have devised a system to alert health IT teams to deteriorating performance in clinical prediction models.

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