Core Insights - Treatment.com AI Inc. has launched its latest Medical Education Suite (MES), an AI-powered platform for clinical skills assessment, successfully deployed at the University of Minnesota Medical School [1][5] - The MES aims to enhance the delivery and evaluation of Objective Structured Clinical Examinations (OSCEs) by providing scalable, rigorous, and cost-effective solutions [1][5] Group 1: Deployment and Implementation - The MES was deployed with over 240 third-year medical students, marking the first large-scale implementation of computer-simulated patient cases developed through the Global Library of Medicine (GLM) [2][5] - The deployment demonstrated complete technical reliability and seamless integration into the existing OSCE workflow at the University of Minnesota [2][6] Group 2: Features and Benefits - The MES incorporates AI-simulated patients and real-time scoring, which supports faster, accurate, and objective assessments, potentially leading to approximately 40% cost savings for the University of Minnesota [5][6] - The platform is designed to reduce faculty preparation and administrative workload while providing objective evaluations aligned with clinical learning objectives [6][8] Group 3: Educational Impact - Early feedback indicates that the MES enhances the student learning experience and strengthens the reliability of OSCE results, helping students build stronger clinical skills [4][6] - The platform combines AI-simulated patients with automated feedback, allowing faculty to assess various competencies such as diagnostic reasoning and clinical prioritization [4][6] Group 4: Future Prospects - Treatment.com AI is engaging with various medical schools to extend the MES offering across North America, the UK, and other international OSCE markets [8] - Preliminary results of the MES's accuracy and precision were presented at the AAMC's 2025 Group on Information Resources meeting, with further scientific publications planned [7]
Repeat: Treatment.com AI Announces New Medical Education Suite to Enhance Clinical Skills Training Through AI-Simulated Patients