Extensive planning and preparation have taken place over many months to help ensure a smooth transition process for patients, physicians, nurses and staff as the new EHR system goes live.

Former Vanderbilt University undergraduates will "move the department’s education and obstetrics clinical operations to new heights."

Vanderbilt Health researchers developed a natural language processing tool that can efficiently identify patients with liver disease and streamline assessment for treatments.

Large language models have been functionally opaque. Seeking some transparency, a team undertook a comparison with traditional machine learning for predicting which patients would discontinue their home cancer medications.

Due to nations’ conflicting privacy regulations, de-identified clinical data needed for science doesn’t always travel so well internationally. A team turned to AI to generate a better class of fake people living with HIV.

DNA biobanks had lacked systematic ways to evaluate whether the medical record data being analyzed accurately reflected the diseases under study.

Vanderbilt Health study supports shift toward dynamic surveillance that extends monitoring for patients with specific demographic and histologic risk profiles.