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Photo by Steve Dabenport/Getty Images Researchers at Columbia University Vagelos College of Physicians and Surgeons have developed an algorithm that automatically scours electronic health records to alert physicians to early-stage chronic kidney disease. The algorithm searches EHRs for results of blood and urine tests before performing calculations to indicate kidney function and damage and alerting clinicians. Identifying kidney disease early is of paramount importance, because we have treatments that can slow disease progression before the damage becomes irreversible, said study leader Dr. Krzysztof Kiryluk, associate professor of medicine, in a statement to press. WHY IT MATTERS More than one in seven adults is estimated to have chronic kidney disease, according to the U.S. Centers for Disease Control and Prevention, but as many as 90% don t know they have it. ....
E-Mail NEW YORK, NY Diagnosing chronic kidney disease, which is often undetected until it causes irreversible damage, may soon become automated with a new algorithm that interprets data from electronic medical records. The algorithm, developed by researchers at Columbia University Vagelos College of Physicians and Surgeons, automatically scours a patient s electronic medical record for results of blood and urine tests and, using a mix of established equations and machine learning to process the data, can alert physicians to patients in the earliest stages of chronic kidney disease. A study of the algorithm was published in the journal npj Digital Medicine in April. ....