electronic health records (EHRs)

AI maps routes to heart disease

Machine learning on unlabeled electronic health record data has shed light on the emergence of cardiovascular disease.

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.

Private practice physicians less likely to maintain EHRs

A new study finds private practice physicians are less likely to maintain electronic health records.

Study merges big data and zebrafish biology to reveal mechanisms of human disease

In a series of studies that volleyed between large databases and research in zebrafish, Vanderbilt investigators have discovered a link between vascular biology and eye disease.

Upgrade to bring enhanced features, functionality to eStar

In the early morning hours of April 7, eStar, the Epic-based electronic health record (EHR) at Vanderbilt University Medical Center, will undergo its first major upgrade since the system went live in a coordinated “Big Bang” across most of the Medical Center in November 2017.

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.

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