ABSTRACT
The physicians' biographical pages are essential in providing information about physicians' specialties. However, physicians may not have biographical pages or the current pages are not comprehensive. We hypothesize that physicians' specialty information can be mined from Electronic Medical Records (EMRs) of their patients. We proposed an automated physician specialty populating (PSP) system that analyzes physician-ascertained diagnoses in EMRs, aggregates them to an appropriate granularity based on the current biographical pages, and populates the biographical pages accordingly. In this study, we applied the system using EMR data from Mayo Clinic and evaluated the system using the current biographical pages regarding various ranking strategies. Preliminary results demonstrated that using EMR data is a scalable and systematic way to populate physicians' biographical pages.
