Citations 1
Data Analytics of Electronic Health Records to Enhance Care of Coronary Artery Disease in Younger Women with Avoiding Possible Delay in Treatment
Panahiazar, Maryam , Bishara, Andrew , Chern, Yorick, Latif, Omar, Hadley, Dexter , Beygui, Ramin E. , Latif, Omar S, Alizadehsani, Roohallah
Studies in Health Technology and Informatics | June 7, 2022 | Volume: No volume available | Issue: No issue available | Pages: No page available
Early detection plays a key role to enhance the outcome for Coronary Artery Disease. We utilized a big data analytics platform on ∼32,000 patients to trace patients from the first encounter to CAD treatment. There are significant gender-based differences in patients younger than 60 from the time of the first encounter to Coronary Artery Bypass Grafting with a p-value=0.03. This recognition makes significant changes in outcome by avoiding delay in treatment.