A Data-driven Approach to Selecting Pulmonary and Critical Care Fellows for Interviews.

ABSTRACT: Background: Training programs around the country receive many applications every year with a limited time window to send out invitations for interviews. This poses major barriers to conducting holistic application reviews. Objective: To create and implement a data-driven selection process that promotes holistic reviews within a tight timeline to select applicants for invitation to interview. Methods: In 2022, we conducted a survey of clinical faculty and fellows to ascertain the experiences, attributes, metrics, and characteristics deemed important for success in our training environment. We formed a selection committee and used the survey results to construct an automated screening tool and a faculty-completed application review form with resultant data summarized to

SUBMITTER: Kempker JA 

PROVIDER: S-EPMC12001043 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature