Virtual Signaling and Emerging Trends in its Use Across Surgical Specialties

Abstract

Introduction This study aims to evaluate program signaling in surgical specialties, analyze its influence on residency applications, and provide recommendations for enhancing its consistency and effectiveness. Methods This cross-sectional study analyzed AAMC ERAS data from the 2021 to 2022 and 2023 residency match cycles, focusing on surgical specialties including general surgery, neurological surgery, obstetrics and gynecology, and orthopedic surgery. Results A positive correlation existed between the number of signals received and the number of applicants to a program across 4 surgical specialties. 10% of programs in each specialty received between 17% and 28% of all signals. There was a negative correlation between the number of current DO residents at a program and the number of signals received. Amongst surgical specialties, those with more signals per applicant had a more equitable distribution of signals across competitive programs. University programs received the most signals, programs were less likely to receive signals if they had a higher percentage of DO residents, and IMG applicants were less likely to send signals. Conclusion Specialties with more signals per applicant had a more equitable distribution of signals across competitive programs, and university programs received proportionally more signals than community programs. Further research is required to investigate the disparities in signaling and the impact of signaling on successful matching.