A new biomedical data science doctoral track at Vanderbilt, designed as an amalgam of biomedical informatics, biostatistics and computer science, is enrolling its first students for admission in the fall.

A new study, led by investigators at Vanderbilt University Medical Center (VUMC), confirms that the scientific pursuit of so-called big data from hospitals and clinics needn’t conflict with patient privacy.

A new study from Vanderbilt introduces an adroit and flexible strategy to quash attacks on patient privacy and aid the flow of vital research data.

Tucked in a data center in the basement of Vanderbilt University Hospital, a new computer the size of a large armoire, called a data warehouse appliance, is delivering a new order of speed to Vanderbilt clinical scientists as they search, filter, analyze and annotate the de-identified medical records of approximately 2 million patients.

A great deal of biomedical and health services research at some point involves record de-identification, whether it’s prior to the sharing of study data or, in the case of large patient databases, prior to the initial extraction of study data.