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Columbia University Irving Medical Center


Algorithm scours electronic health records to reveal hidden kidney disease

A new algorithm developed by researchers at Columbia University can automatically scan electronic medical records for signs of chronic kidney disease, alerting physicians to patients in the earliest stages. The algorithm performs nearly as well as experienced nephrologists, correctly diagnosing kidney disease in 95% of identified cases.

SourceColumbia University Irving Medical Center·JournalDigital Medicine·DateApr 28, 2021

For pregnant women with heart disease, multidisciplinary care may be essential

A recent study conducted at Columbia University Irving Medical Center suggests that multidisciplinary cardio-obstetrics teams can improve pregnancy outcomes and reduce hospital readmission rates among pregnant women with cardiovascular disease. The study found low rates of maternal and fetal complications, as well as a lower rate of ho...

SourceColumbia University Irving Medical Center·JournalJournal of the American College of Cardiology·DateOct 26, 2020

Race and ethnicity did not affect outcomes for new moms with COVID-19, finds study

A recent study published in Obstetrics & Gynecology found that pregnancy and birth outcomes for women with SARS-CoV-2 infection were similar across different racial and ethnic groups, defying previous expectations of disparate treatment. Researchers attribute this finding to close follow-up care implemented by the medical center.

SourceColumbia University Irving Medical Center·JournalObstetrics and Gynecology·DateJul 21, 2020