EHR

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

The billing codes in electronic health records are useful for counting skin cancers over time — an important metric for cancer risk assessment and prevention. Read More

Vanderbilt researchers used genetics tools and biobanks with linked electronic health records to explore the associations between statins and noncardiovascular diseases. Read More

A mysterious inflammatory syndrome linked to COVID-19 infection and first identified in children also occurs in adults, Vanderbilt researchers report. Read More

A team of Vanderbilt-led researchers sought to better understand the goals, constraints and frustrations of medical providers when they access Electronic Health Records. The results will be shared with technology vendors to enhance EHR usability. Read More

A switch to paper forms during the COVID-19 pandemic might have hobbled research, but using software with a novel user interface made it possible to accurately extract information from scanned forms. Read More

Vanderbilt researchers have developed a response score using genetic and clinical information to aid prescribing of the widely used pain medication codeine. Read More

Team members serving COVID-19 inpatients were more densely connected, interacting far more than their medical ICU counterparts. Read More

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

Electronic health records and biobanks can be effectively combined to detect and study Mendelian diseases such as cystic fibrosis. Read More