Performance of the National Early Warning Score in Hospitalized Patients With Kidney Failure on Maintenance Hemodialysis.

I am an academic hospitalist at Duke University Hospital. My clinical work focuses on care of hospitalized adults with complex medical issues. I also perform general medicine procedures such as lumbar punctures, thoracenteses, paracenteses, and the placement of central venous catheters. Outside of my clinical work, I serve as the Associate Medical Director for the Digital Strategy Office (DSO) at Duke. In this role, I help lead digital health work at Duke, including virtual care, eVisits, remote patient monitoring, virtual nursing, self-scheduling, MyChart, patient reported outcomes, and other initiatives within the DSO. My research focuses on the real-world impact of our digital health interventions for patients. I am also interested in cost of care and care delivery redesign. 

Dr. Scialla is an Associate Professor of Medicine in Nephrology at Duke University and a faculty member at the Duke Clinical Research Institute.  Dr. Scialla trained in Internal Medicine, Nephrology, and Clinical Epidemiology at the Johns Hopkins University School of Medicine and the Johns Hopkins Bloomberg School of Public Health.  Her research focuses on chronic kidney disease (CKD) epidemiology and prevention, with an emphasis on the role of metabolic complications and nutrition. Current studies are focused on treatment and prevention of abnormal phosphate homeostasis, acid-base physiology, diabetic and other forms of kidney disease, and outcomes in end-stage kidney disease. 

Dr. Scialla’s work engages a number of study designs including prospective cohort studies, observational comparative effectiveness studies, and patient-oriented physiologic studies. She has worked closely with multiple chronic disease cohorts including the Chronic Renal Insufficiency Cohort (CRIC) Study, the African American Study of Kidney Disease and Hypertension (AASK), the Jackson Heart Study (JHS), and secondary analyses in clinical trials. Studies in electronic health records (EHR) and registries have engaged dialysis EHR data, the United States Renal Data System, and public registries, such as the National Health and Nutrition Examination Survey. Physiologic studies include the Acid Base Complication in CKD Study, secondary analyses in the DASH Mechanism Study, and the newly launched MURDOCK Kidney Health Study.

I study the meaningful use of Electronic Health Records data. My research interests sit at the intersection of biostatistics, biomedical informatics, machine learning and epidemiology. I collaborate with researchers both locally at Duke as well as nationally. I am interested in speaking with any students, methodologistis or collaborators interested in EHR data.

Please find more information at: https://sites.duke.edu/bgoldstein/