Augmented Web-based applicant experiences for anesthesiology away audition rotations: A systematic review of the current literature

Objective: The objective of this paper is to evaluate Augmented Web-based Applicant Experiences in the field of Anesthesiology. We hope to advocate for Augmented Web-based Applicant Experiences rotations and address their limitations in case in-person rotations become restricted again. Methods: A thorough search of articles from the years 1978 to 2023 was completed using the search phrases “Away Rotations Anesthesiology,” “Away Rotations Anesthesia,” “Audition Rotation Anesthesia” and “Audition Rotation Anesthesiology.” These search phrases were used on both the PubMed (Medline) and Excerpta medica database (EMBASE) databases, and the number of total articles that appeared was 73. These articles were then filtered to gather relevant articles for our study. Results: After the articles were filtered, there was one remaining article that was used for our study. To supplement this article, 29 additional sources were added using the worldwide web. However, these did not address rotations in Anesthesiology. Although these other sources did not involve Anesthesiology residencies, they still provide significant perspectives that can be applied to online rotations. A total of 30 sources were used for our manuscript. Conclusion: Although in-person rotations are preferred, Augmented Web-based Applicant Experiences rotations are valuable as they give residency programs an opportunity to evaluate students. Augmented Web-based Applicant Experiences rotations also provide students with learning opportunities and also help familiarize them with the residency programs. There are limitations that come with Augmented Web-based Applicant Experiences rotations. However, addressing these shortcomings can help Augmented Web-based Applicant Experiences rotations become a proper substitution for in-person rotations if they become restricted again.

Duke Scholars

Author Brian Mendelson Anesthesiology, Regional