Secondary Data Analysis

Fillmore has developed computational methods to improve the utility of large-scale electronic health record databases for secondary research. He created an interactive machine learning tool that streamlines the identification and categorization of laboratory tests across vast patient cohorts. This system reduces the manual burden of clinical concept adjudication, enabling more efficient and transparent analysis of billions of laboratory data points.