Principal Investigator: Daniel S Herman, MD, PhD

Department: Pathology and Laboratory Medicine

Services Provided: Data Wrangling, Data Analysis

Description:
Primary aldosteronism is an underlying cause of chronic hypertension that is highly treatable but often goes undiagnosed.  We collaborated with Dr. Daniel Herman to develop a phenotyping algorithm for hypertension using Penn Medicine electronic health record data: medications, diagnoses, chart notes, and lab results.  We developed a more accurate classification based on EHR data than is currently available through the existing Penn hypertension registry.  This will allow primary aldosteronism researchers more effectively select cohorts for future primary aldosteronism study.