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Journal of the American Medical Informatics Association Archives

PheWAS reveals post-COVID-19 diagnoses

Sep. 8, 2022—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.

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Report lays out solution for pandemic patient privacy

May. 10, 2022—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.

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VUMC Clickbusters program helps reduce EHR alerts

Mar. 24, 2022—Vanderbilt's Clickbusters program is helping to stem alert fatigue associated with the Medical Center's clinical IT system.

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Mobile app from VUMC supports field research around the world

Feb. 10, 2022—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.

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Impact of digital health interventions

Jan. 31, 2022—Vanderbilt researchers test and recommend statistical approaches to study the association between engagement with digital health interventions and clinical outcomes.

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AI predicts 24-hour hospital discharge

Nov. 16, 2021—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.

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Artificial intelligence predicts opioid overdose in Tennessee

Oct. 19, 2021—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.

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AI predicts next-day delirium or coma in ICU patients

Sep. 30, 2021—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.

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Strength in numbers

May. 3, 2021—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.

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Building a cohort, the easy way

Jan. 7, 2021—An automated system using keyword searches can help identify candidates for clinical trials on adverse drug reactions.

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Model students: improving clinical decision-making

Dec. 10, 2020—Vanderbilt investigators have devised a system to alert health IT teams to deteriorating performance in clinical prediction models.

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New tool rapidly identifies health records for studies

Oct. 29, 2020—Electronic health records (EHR) are increasingly a resource for biomedical discovery, and automated searches for records that reflect a phenotype of interest, typically a disease, are a common starting point.

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