Electronic Health Records

Alvin Jeffery awarded $1.5M from the National Institute on Drug Abuse to develop artificial intelligence to predict substance use disorder through genetic information. Jeffery is the only nursing research faculty member with a dual VA appointment. Read More

School of Nursing Assistant Professor Alvin Jeffery has been named a Betty Irene Moore Fellow for Nurse Leaders and Innovators by the Gordon and Betty Moore Foundation. His fellowship project will focus on electronic health record usability. Read More

Combining genetic testing with information from electronic health records revealed undiagnosed heart rhythm disorders and new conditions associated with inherited cancer gene mutations. 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

A novel hormone deficiency may exist in humans, Vanderbilt investigators have discovered. In an analysis of two decades worth of electronic health records, the researchers found that some patients have unexpectedly low levels of natriuretic peptide hormone in clinical situations that should cause high levels of the hormone. Read More

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

A computer-based method developed at Vanderbilt University Medical Center that scans electronic medical records (EMRs) for genetic contributors to disease has been used for the first time to reveal the impact of race on health. Read More

An international research team has discovered a new genetic syndrome caused by mutation of a single gene and named it CATIFA, an acronym for its core symptoms. Read More

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

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

Patients who take a cholesterol-lowering statin drug while taking the antibiotic daptomycin have increased risk of developing muscle weakness or a more severe form of muscle damage. Read More

Vanderbilt University Medical Center is among an initial 39 health systems supporting a new health records feature on the iPhone. Read More

Patients diagnosed with heart failure, stroke, infertility and kidney failure could actually be suffering from rare and undiagnosed genetic diseases. Read More

Tempus, a technology company focused on helping doctors personalize cancer care by collecting and analyzing large volumes of molecular and clinical data, and Vanderbilt-Ingram Cancer Center (VICC) have announced a new collaboration to improve outcomes for cancer patients. Read More

Apple has Siri, Google has Google Assistant, Microsoft has Cortana. A team at Vanderbilt University Medical Center (VUMC) is creating voice-controlled virtual assistant software to help people interact with electronic health records (EHR). Read More

Automated techniques can assist in understanding and managing growing volumes of messages sent through secure patient portals, Vanderbilt researchers found. Read More

Vanderbilt University Medical Center has been approved for a $1 million funding award by the Patient-Centered Outcomes Research Institute (PCORI) to study more efficient and feasible ways to validate electronic health records (EHR) and incorporate this information into medical studies. Read More

A research team at Vanderbilt University Medical Center (VUMC) will develop a crowdsourcing solution for generating a wide range of labeled data sets from electronic health records (EHRs). Read More

Using patients’ health records to assess preparedness for hospital discharge is more effective at predicting readmission or death than commonly used questionnaires. Read More

To ease data collection for clinical research and ongoing analysis of clinical processes, teams at Vanderbilt University Medical Center (VUMC) are working to bridge the gap between clinical systems and research systems. Read More