Paul Govern

Transplant surgery

Predictive analytics help manage OR case volume

To accommodate weekday and seasonal variations in case volume, continual adjustment of operating room resources is imperative. Unlike other health systems, at Vanderbilt Health the OR planning process taps into predictive analytics running automatically on the back of the OR scheduling system.

Donna Oates of Dermatology wins 2019 Administrative Professional Award

“It’s so important to find the joy of saying hello, calling each person by his or her name.”

Report seeks to streamline EHR de-identification

Over the past few decades the electronic health record (EHR) has become an object of intensive study, opening new ground in biomedical research. Natural language sections of the EHR, such as physician’s notes and health team messages, are a rich vein for research, but patient privacy considerations entail first scrubbing patient identifiers from these notes and messages. Historically, this has been accomplished through large, complex software systems that are expensive to develop and maintain.

Treatment resistance of mental disorders studied

With the aid of a four-year, $3.4 million grant from the National Institute of Mental Health, researchers at Vanderbilt University Medical Center and Massachusetts General Hospital (MGH) will apply new techniques to investigate treatment resistance of two devastating mental disorders — major depressive disorder, which befalls 15 percent of people at some point in their lives, and schizophrenia, which affects approximately 1 percent.

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.

Lisa Bastarache, MS, Josh Denny, MD, MS, and colleagues are helping researchers study associations among de-identified genotype data and electronic health records data. (photo by John Russell)

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.

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