Tech & Health Archive — Page 8 of 21
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February 8, 2024
New algorithms show promise for predicting bipolar disorder risk
In a new study across three major U.S. health care systems, researchers developed and tested algorithms to predict who will develop bipolar disorder. -
February 2, 2024
Self check-in, centralized welcome desks prove beneficial to both staff and patients
Vanderbilt Health adult ambulatory clinics began providing self check-in for appointments in late summer 2023, and the process has proven beneficial to both patients and staff. -
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. -
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. -
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. -
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. -
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.”