Department of Biomedical Informatics

January 23, 2024

VUMC establishes Realizing Accelerated Progress, Investigation, Implementation, and Dissemination in Learning Health Systems (RAPID-LHS) Center

The new center, supported by a $5 million grant from the Agency for Healthcare Research and Quality and the Patient-Centered Outcomes Research Institute will focus on training scientists and supporting research to minimize gaps between the generation of clinical evidence, implementation of proven interventions and development of informed public health policy.

By Jill Clendening
January 5, 2024

Artificial intelligence advances work in VUMC’s clinical and research settings

Vanderbilt University Medical Center physicians and researchers are applying artificial intelligence in innovative ways to advance clinical care and scientific understanding of these cutting-edge tools.

By VUMC News and Communications
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
December 21, 2023

Vanderbilt’s Embí and team awarded AIM-HI grant to improve use and monitoring of AI in health care

A Vanderbilt team has received funding to pursue research projects deploying artificial intelligence (AI) and machine learning (ML) algorithms to enhance diagnostic decision-making in health care.

By Mia Garchitorena-Scancarelli
November 17, 2023

Study validates use of VUMC suicide risk model in Navy primary care

A Vanderbilt study found that automated suicide risk prediction models operating on electronic health records could help clinical teams efficiently identify patients for face-to-face suicide risk screening and prevention.

By Paul Govern
November 15, 2023

Study finds many patients don’t seek more health services after receiving genetic screening results

A study by Vanderbilt researchers found that more than half of the patients who receive the results of genetic tests might not be impelled to seek more services than they’re already receiving.

By Paul Govern
November 14, 2023

Future of AI in medicine is bright, but rigorous validation needed

Artificial intelligence has the potential to transform the practice of medicine but, like any other new tool or method, it needs to be rigorously validated before it is widely applied, cautions Vanderbilt's Dan Roden, MD.
By Bill Snyder
November 8, 2023

Vanderbilt and Duke awarded Moore Foundation Grant to improve oversight of AI technology in health care systems

Vanderbilt University Medical Center and Duke University School of Medicine have been awarded a $1.25 million grant from the Gordon and Betty Moore Foundation for the project “Measuring Artificial Intelligence (AI) Maturity in Healthcare Organizations.”
By Mia Garchitorena-Scancarelli
October 31, 2023

Polygenic “scores” may improve cancer screening

Accounting for genetic variability in biomarkers not associated with cancer risk could avoid unnecessary diagnostic procedures, Vanderbilt researchers found.
By Bill Snyder
October 20, 2023

Bryan Shepherd’s research to validate EHR data receives MERIT Award from the NIH

Vanderbilt's Bryan Shepherd, PhDhas received a MERIT Award, or Method to Extend Research in Time Award, from the National Institute of Allergy and Infectious Diseases.
By Paul Govern
October 18, 2023

VUMC’s Wei Kelly Wu, Siru Liu named 2023 Stat Wunderkinds

Vanderbilt's Wei Kelly Wu, MD, and Siru Liu, PhD, have been named 2023 Stat Wunderkinds.
By Paul Govern
October 17, 2023

Vanderbilt’s Ellen Clayton and Allison McCoy elected fellows of ACMI

Vanderbilt’s Ellen Clayton, MD, JD, and Allison McCoy, PhD, have been elected to the American College of Medical Informatics (ACMI) class of 2023.
By Mia Garchitorena-Scancarelli
October 10, 2023

Study tracks clinical team engagement with health records by patient race/ethnicity

A review of electronic health record user access logs found that EHRs of adult inpatients from minority racial and ethnic populations on average received lower engagement from health care teams than the records of white adult inpatients.
By Paul Govern
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