2023
DOI: 10.1097/acm.0000000000005210
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A New Tool for Holistic Residency Application Review: Using Natural Language Processing of Applicant Experiences to Predict Interview Invitation

Abstract: ProblemReviewing residency application narrative components is time intensive and has contributed to nearly half of applications not receiving holistic review. The authors developed a natural language processing (NLP)-based tool to automate review of applicants' narrative experience entries and predict interview invitation.

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Cited by 5 publications
(1 citation statement)
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References 7 publications
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“…In one study, NLP was used to predict whether candidates for residency interviews would receive an invitation (Mahtani et al, 2023). The NLP model's average AUROC score of 0.80 indicates its predictability.…”
Section: Comparison Of Chatgpt With Other Nlp Models Used In Medicine...mentioning
confidence: 99%
“…In one study, NLP was used to predict whether candidates for residency interviews would receive an invitation (Mahtani et al, 2023). The NLP model's average AUROC score of 0.80 indicates its predictability.…”
Section: Comparison Of Chatgpt With Other Nlp Models Used In Medicine...mentioning
confidence: 99%