Demystifying the Dermatology Residency Application Process, Part II - Application Season: Strategic Application, Interviewing, and Mentorship.

IF 2.3 4区 医学 Q2 DERMATOLOGY
Sowmya Ravi, Leah D Kovacs, Ekaterina Korytnikova, Albert E Zhou, Jane M Grant-Kels, Hao Feng, Gillian Weston, Brett Sloan
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Abstract

The dermatology residency match has become increasingly competitive, culminating in a 2025 United States senior MD match rate of 63 % according to the NRMP. Considering this trend, this three-part review aims to demystify the dermatology application process for future applicants. Part II of this series focuses on key components of the application process that shape applicant success, including preference signaling, geographic preferencing, letters of recommendation (LoRs), audition rotations, interviews, mentorship, and emerging applications of artificial intelligence (AI). Preference signaling and geographic preferencing may improve applicant-program alignment, though they risk exacerbating inequities if applied inconsistently or opaquely. LoRs remain among the most influential and subjective components of the application, with those authored by academic dermatologists carrying particular weight. Audition rotations offer applicants the opportunity to demonstrate clinical performance and cultural fit but are costly and may reinforce socioeconomic disparities. The number of interviews completed strongly predicts match success, though interview hoarding and variability in virtual evaluation remain unresolved challenges. Structured mentorship, especially for applicants without a home dermatology program, significantly improves application strength. Finally, AI tools are increasingly used by both applicants and programs, raising important questions about transparency, authorship, and bias. Collectively, these evolving practices underscore the need for continued research and reform to ensure a more equitable and evidence-based dermatology Match.

揭开皮肤科住院医师申请过程的神秘面纱,第二部分-申请季节:战略申请,面试和指导。
皮肤科住院医师匹配的竞争越来越激烈,根据NRMP的数据,2025年美国高级MD匹配率达到63% %。考虑到这一趋势,这三部分的审查旨在揭开皮肤病学的申请过程,为未来的申请人。本系列的第二部分侧重于影响申请人成功的申请过程的关键组成部分,包括偏好信号、地理偏好、推荐信(LoRs)、试镜轮转、面试、指导和人工智能(AI)的新兴应用。偏好信号和地理偏好可以改善申请人与项目的一致性,尽管如果应用不一致或不透明,它们可能会加剧不公平。LoRs仍然是应用程序中最具影响力和最主观的组成部分之一,由学术皮肤科医生撰写的LoRs具有特别的分量。试镜轮岗为申请人提供了展示临床表现和文化契合度的机会,但成本高昂,可能会加剧社会经济差距。完成的面试数量强烈预测匹配成功,尽管面试囤积和虚拟评估的可变性仍然是未解决的挑战。结构化的指导,特别是对于没有家庭皮肤科项目的申请人,显着提高了申请强度。最后,人工智能工具越来越多地被申请人和项目使用,这引发了关于透明度、作者身份和偏见的重要问题。总的来说,这些不断发展的做法强调需要继续研究和改革,以确保更加公平和以证据为基础的皮肤病学匹配。
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来源期刊
Clinics in dermatology
Clinics in dermatology 医学-皮肤病学
CiteScore
4.60
自引率
7.40%
发文量
106
审稿时长
3 days
期刊介绍: Clinics in Dermatology brings you the most practical and comprehensive information on the treatment and care of skin disorders. Each issue features a Guest Editor and is devoted to a single timely topic relating to clinical dermatology. Clinics in Dermatology provides information that is... • Clinically oriented -- from evaluation to treatment, Clinics in Dermatology covers what is most relevant to you in your practice. • Authoritative -- world-renowned experts in the field assure the high-quality and currency of each issue by reporting on their areas of expertise. • Well-illustrated -- each issue is complete with photos, drawings and diagrams to illustrate points and demonstrate techniques.
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