Artificial intelligence (AI) performance on pharmacy skills laboratory course assignments.

Journal: Currents in pharmacy teaching & learning
Published Date: Apr 23, 2025

Abstract

OBJECTIVE: To compare pharmacy student scores to scores of artificial intelligence (AI)-generated results of three common platforms on pharmacy skills laboratory assignments.

Authors

  • Vivian Do
    Class of 2025, Virginia Commonwealth University School of Pharmacy, Richmond, VA, United States of America. Electronic address: dovt3@vcu.edu.
  • Krista L Donohoe
    BCPS, BCGP, Virginia Commonwealth University School of Pharmacy, Richmond, VA, United States of America. Electronic address: kldonohoe@vcu.edu.
  • Apryl N Peddi
    BCACP, Virginia Commonwealth University School of Pharmacy, Richmond, VA, United States of America. Electronic address: peddian@vcu.edu.
  • Eleanor Carr
    Class of 2025, Virginia Commonwealth University School of Pharmacy, Richmond, VA, United States of America. Electronic address: carreg@vcu.edu.
  • Christina Kim
    Class of 2025, Virginia Commonwealth University School of Pharmacy, Richmond, VA, United States of America. Electronic address: kimc29@vcu.edu.
  • Virginia Mele
    Class of 2025, Virginia Commonwealth University School of Pharmacy, Richmond, VA, United States of America. Electronic address: melev@vcu.edu.
  • Dhruv Patel
    Class of 2025, Virginia Commonwealth University School of Pharmacy, Richmond, VA, United States of America. Electronic address: pateldh9@vcu.edu.
  • Alexis N Crawford
    BCCCP, BCPS, Virginia Commonwealth University School of Pharmacy, Richmond, VA, United States of America. Electronic address: acrawford4@vcu.edu.

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