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Objective The objective of this study is to analyze a high‐signal approach for otolaryngology‐head and neck surgery (OHNS) residency applicants and calculate cost savings for programs and applicants. Methods Data from both the 2022–2024 Electronic Residency Application Service (ERAS) and a data model were used to demonstrate cost savings with a high‐signal approach. Modeled data assumed that the number of applications per applicant would be equal to the number of signals allowed. Predicted and real‐world cost savings across the five other specialties participating in a high‐signal approach were calculated. Results ERAS data cost savings for the entire OHNS applicant pool amounted to 365, 950. In the modeled data, cost savings amounted to 825, 921. When extrapolated to include all five high‐signal specialties, total cost savings amounted to 2, 570, 464 (ERAS data) and 6, 359, 478 (modeled data). Otolaryngology programs were predicted to experience significant time savings, resulting in cost savings of 437, 883 and 1, 113, 342 for ERAS data and modeled data, respectively. Conclusions The study highlights the advantages of a high‐signal approach, including financial advantages or increased time for programs to engage in holistic review and diversify the pool of interview candidates. Cost savings in this study were shown to be significant when extrapolated across all specialties using a high‐signal approach. Further research is needed to optimize the signaling system and confirm the favorable interview distribution and equity data from the low‐signal OHNS experience with a high‐signal approach. Level of Evidence N/A Laryngoscope, 134: 2684–2688, 2024
Erickson et al. (Sat,) studied this question.