Values-based Selection Of Resident Applications Using Machine Learning
ID U-8173
Category Research Tools (Non-Tangible Property)
Subcategory Software
Researchers
Brief Summary
Machine learning algorithm that explores unstructured narrative data from residency applications to generate a values-based ranking of applicants.
Problem Statement
Because of the lack of time, resources, and metrics to evaluate unstructured data in residency applications the current applicant screening process relies heavily on quantitative metrics and overlooks other factors that contribute to applicant success.
Technology Description
Machine learning that explores the unstructured narrative data of a residency application to rank applicants based off of values that have been qualitatively validated as important for resident success. The machine learning algorithm also helps to minimize human burden and error.
Contact Info
Jason Young
(801) 587-0519
jason.r.young@utah.edu
