Department of Biomedical Informatics Archive — Page 19 of 25
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October 2, 2019
Research team sorts out drug screen false positive results
Vanderbilt investigators have identified 13 previously unknown drug compounds that cause false positive screenings for amphetamines, buprenorphine (an opioid), cannabinoids and methadone. -
September 25, 2019
Study to explore care coordination’s impact on patient outcomes
You Chen, PhD, has been awarded a four-year, $1.5 million research grant to study care coordination patterns and their influence on hospital length of stay and unplanned patient readmission. -
August 15, 2019
REDCap data management tool reaches million user mark
Fifteen years after it was launched, REDCap, Vanderbilt University’s research data management tool, has reached 1 million users throughout the world. -
August 14, 2019
All of Us Research Program Takes Aim at Precision Population Health
Scarcely a year after its national launch, the “All of Us” research program, which aims to accelerate the prevention and treatment of disease, has enrolled more than 230,000 research participants — more than a fifth of its recruitment goal of 1 million people. All -
June 20, 2019
VUMC forms new Center for Improving the Public’s Health Using Informatics (CIPHI)
Vanderbilt University Medical Center is forming a new Center for Improving the Public’s Health Using Informatics (CIPHI, pronounced “Sci Fi”) to be co-directed by Michael Matheny, MD, MS, MPH, and Melissa McPheeters, PhD, MPH. -
February 21, 2019
Skin diseases study uses crowdsourcing to gather data
In 1906, English statistician Francis Galton happened to visit a livestock fair where fairgoers were invited to guess the dressed weight of an ox scheduled for imminent slaughter. Some 800 attendees took part and afterwards Galton got hold of the contest data. -
February 7, 2019
PheWAS Core helps researchers make sense of electronic health record data
Some biomedical researchers may be unsure about routine electronic health record (EHR) data and how useful it ultimately may prove for drawing meaningful, actionable associations that warrant changes to clinical practice and lead to improved clinical outcomes.