Department of Biomedical Informatics

concept of precision medicine or personalized medicine depicting a tablet containing complex health data including x-rays, a laptop, stethoscope and eye shields

Gregor Mendel would be proud

Dec. 12, 2019—A computational method that uses hospital billing codes and electronic health records can identify genetic disease cases before clinical teams do.

Getting the goods on obesity

Nov. 19, 2019—Obesity and two post-operative complications linked with it have associated genetic variants in common, suggesting that obesity may be the culprit.

Electronic medical record on tablet in a person's hand

How to fake a medical record

Nov. 4, 2019—Simulated electronic health records could avoid patient privacy risks and help speed discovery.

AI maps routes to heart disease

Oct. 7, 2019—Machine learning on unlabeled electronic health record data has shed light on the emergence of cardiovascular disease.

Three emergency medical workers rushing patient in gurney down hall past sign reading "Emergency"

Data breach fixes could impact patient care: Study

Oct. 7, 2019—IT security measures implemented following data breaches at hospitals may delay care when time is of the essence, according to a new analysis.

Research team sorts out drug screen false positive results

Oct. 2, 2019—Vanderbilt investigators have identified 13 previously unknown drug compounds that cause false positive screenings for amphetamines, buprenorphine (an opioid), cannabinoids and methadone.

REDCap data management tool reaches million user mark

Aug. 15, 2019—Fifteen years after it was launched, REDCap, Vanderbilt University’s research data management tool, has reached 1 million users throughout the world.

Study ‘ignites’ link between genes and drug response

Jul. 25, 2019—A national study is seeking to determine whether genetic testing can help physicians choose the best drugs for their patients to relieve pain and depression.

finger pressing a button marked with an envelope on a keyboard, signifying email

Study finds patient messages help predict medication adherence

Jan. 31, 2019—Zhijun Yin and colleagues have found that breast cancer patients who message their doctors about certain topics are more likely to discontinue hormone therapy than others--which enables doctors to better predict which patients are at risk of stopping their treatment early.

Vanderbilt News