Vanderbilt investigators have devised a system to alert health IT teams to deteriorating performance in clinical prediction models.

False positives on urine drug screens are common and are frequently due to cross-reactivity of these tests to medications. Last year, Vanderbilt University Medical Center researchers Jacob Hughey, PhD, assistant professor of Biomedical Informatics, and Jennifer Colby, PhD, at that time assistant professor of Pathology, Microbiology and Immunology, devised, tested and published a method to systematically identify medications that interfere with screenings for drugs of abuse.

According to a new large-scale descriptive study in the journal Pediatrics, for each outpatient encounter, pediatricians on average spend 16 minutes using the electronic health record (EHR).

Electronic health records (EHR) are increasingly a resource for biomedical discovery, and automated searches for records that reflect a phenotype of interest, typically a disease, are a common starting point.

What users mention in online weight loss forum tracks with how much weight they lose.

Visionary — someone who thinks about the future or advancements in a creative and imaginative way, a person who is ahead of her or his time and who has a powerful plan for change in the future. Such a person is William “Bill” Stead, MD, Vanderbilt University Medical Center’s Chief Strategy Officer, McKesson Foundation Professor of Biomedical Informatics and Professor of Medicine.

Taking an interest in electronic message threads between surgical patients and their health care teams, a research group at Vanderbilt University Medical Center has tested how well certain commonly used machine learning algorithms can classify such exchanges according to their clinical decision-making complexity.