January 27, 2022

Clinical Education Curriculum Mapping Learning Management Systems Technology


Name of the Resource: Competency.AI


Brief Description: Competency.AI is a powerful artificial intelligence platform that tracks learner performance across competencies and Entrustable Professional Activities (EPAs). Competency.AI’s innovative machine learning maps curriculum assessment data to an institution’s competency taxonomy, and streamlines competency based medical education curricula measurement and management. Through longitudinal, individualized fingerprinting, Competency.AI tracks learner performance and provides progress snapshots across key clinical competencies and EPAs throughout a professional career.

Recommended use: Competency.AI is an ideal assessment management platform for multiple higher ed disciplines. Medical Schools: track competencies, EPAs, body systems, threads, and more to meet accreditation and reporting requirements for curricula and learner performance. Nursing Schools: define your program’s mission, goals, and objectives by tracking learner, program, and institutional-level outcomes via an intuitive, real-time dashboard. Physician Assistant Programs: aggregate disparate data from multiple departments and sources, and intelligently align program and course-level outcomes to improve faculty supervision and streamline the reaccreditation process. Schools of Pharmacy: automate the required competency and academic performance data aggregation process to help your program successfully adopt a competency-based assessment approach.

This Resource Is Helpful For:

  • Clinical Education

  • Curriculum Mapping

  • Learning Management Systems



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  • 2022


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    CME Outcome