Journal Of The American Medical Informatics Association

Vanderbilt researchers test and recommend statistical approaches to study the association between engagement with digital health interventions and clinical outcomes. Read More

Vanderbilt researchers used a machine learning algorithm and data from more than 26,000 hospital stays to predict who would and would not be discharged over the next 24 hours. Read More

Voluntary data sharing across a region’s health systems and ambulatory care practices is important for measuring and improving health care quality and safety, Vanderbilt researchers report. Read More

An automated system using keyword searches can help identify candidates for clinical trials on adverse drug reactions. Read More

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

A computational method that uses hospital billing codes and electronic health records can identify genetic disease cases before clinical teams do. Read More

Simulated electronic health records could avoid patient privacy risks and help speed discovery. Read More

At Vanderbilt University Medical Center (VUMC) there are about 486 distinct operational units involved in inpatient care and evaluation. Read More

A team at Vanderbilt University Medical Center (VUMC) has developed and tested software that scans electronic health records in real time to monitor cancer patient survival (from time of diagnosis) according to which genes, if any, are found to carry mutations. Read More

To most effectively use electronic health records for research, investigators should query multiple components of the record to identify patients with specific diseases. Read More

With research and development costs for many drugs reaching well into the billions, pharmaceutical companies want more than ever to determine whether their drugs already at market have any hidden therapeutic benefits that could warrant putting additional indications on the label and increasing production. Read More

Diagnostic codes used for billing purposes effectively identify smokers in a general clinic population and can be used to adjust smoking status in genetic and epidemiologic studies. Read More

A tool developed for one institution’s electronic health records can work at other institutions, potentially facilitating the use of these records in research studies. Read More

Studies of Flu Tool, a computer application that guides health care decision-making, suggests that patients are willing to use these types of resources. Read More