Treatment.com AI Announces New Medical Education Suite to Enhance Clinical Skills Training Through AI-Simulated Patients
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Treatment.com AI (TREIF) has launched an updated Medical Education Suite (MES), an AI-powered clinical skills assessment platform, successfully deployed at the University of Minnesota Medical School. The platform, which incorporates AI-simulated patients and real-time scoring, was tested with 240 third-year medical students and demonstrated potential cost savings of approximately 40%. The MES leverages the Global Library of Medicine (GLM), a clinician-built medical knowledge engine, to provide objective evaluations, reduce faculty workload, and enhance clinical skills training. Key features include real-time scoring aligned with learning objectives, secure exam delivery options, and integration with existing OSCE workflows. The University of Minnesota implementation showed complete technical reliability, and Treatment.com AI plans to expand the platform across North America, the UK, and other international markets.
Treatment.com AI (TREIF) ha lanciato una versione aggiornata della Medical Education Suite (MES), una piattaforma di valutazione delle competenze cliniche basata sull'intelligenza artificiale, già implementata con successo presso la Facoltà di Medicina dell'Università del Minnesota. La piattaforma, che integra pazienti simulati dall'IA e valutazioni in tempo reale, è stata testata su 240 studenti del terzo anno di medicina, dimostrando un potenziale risparmio dei costi di circa il 40%. La MES sfrutta il Global Library of Medicine (GLM), un motore di conoscenza medica creato da clinici, per fornire valutazioni oggettive, ridurre il carico di lavoro del corpo docente e migliorare la formazione delle competenze cliniche. Tra le caratteristiche principali vi sono la valutazione in tempo reale allineata agli obiettivi di apprendimento, opzioni sicure per la somministrazione degli esami e l'integrazione con i flussi di lavoro OSCE esistenti. L'implementazione presso l'Università del Minnesota ha mostrato una completa affidabilità tecnica, e Treatment.com AI prevede di espandere la piattaforma in Nord America, Regno Unito e altri mercati internazionali.
Treatment.com AI (TREIF) ha lanzado una versión actualizada de la Medical Education Suite (MES), una plataforma de evaluación de habilidades clínicas impulsada por inteligencia artificial, implementada con éxito en la Facultad de Medicina de la Universidad de Minnesota. La plataforma, que incorpora pacientes simulados por IA y puntuación en tiempo real, fue probada con 240 estudiantes de tercer año de medicina y demostró un ahorro potencial de costos de aproximadamente el 40%. La MES utiliza la Global Library of Medicine (GLM), un motor de conocimiento médico desarrollado por clínicos, para proporcionar evaluaciones objetivas, reducir la carga de trabajo del profesorado y mejorar la formación en habilidades clínicas. Las características clave incluyen puntuación en tiempo real alineada con los objetivos de aprendizaje, opciones seguras para la administración de exámenes e integración con los flujos de trabajo OSCE existentes. La implementación en la Universidad de Minnesota mostró total fiabilidad técnica, y Treatment.com AI planea expandir la plataforma en Norteamérica, Reino Unido y otros mercados internacionales.
Treatment.com AI(TREIF)는 AI 기반 임상 기술 평가 플랫폼인 Medical Education Suite(MES)의 업데이트 버전을 출시했으며, 미네소타 대학교 의과대학에 성공적으로 도입되었습니다. 이 플랫폼은 AI 시뮬레이션 환자와 실시간 점수 평가를 포함하며, 3학년 의대생 240명을 대상으로 테스트되어 약 40%의 비용 절감 가능성을 입증했습니다. MES는 임상의들이 구축한 의료 지식 엔진인 Global Library of Medicine(GLM)을 활용하여 객관적인 평가를 제공하고, 교수진의 업무 부담을 줄이며 임상 기술 교육을 향상시킵니다. 주요 기능으로는 학습 목표에 맞춘 실시간 점수 평가, 안전한 시험 진행 옵션, 기존 OSCE 워크플로우와의 통합이 포함됩니다. 미네소타 대학교 도입 사례는 완벽한 기술 신뢰성을 보여주었으며, Treatment.com AI는 북미, 영국 및 기타 국제 시장으로 플랫폼 확장을 계획하고 있습니다.
Treatment.com AI (TREIF) a lancé une version mise à jour de la Medical Education Suite (MES), une plateforme d’évaluation des compétences cliniques alimentée par l’intelligence artificielle, déployée avec succès à la Faculté de médecine de l’Université du Minnesota. La plateforme, qui intègre des patients simulés par IA et une notation en temps réel, a été testée auprès de 240 étudiants en troisième année de médecine et a démontré un potentiel d’économies d’environ 40 %. La MES s’appuie sur la Global Library of Medicine (GLM), un moteur de connaissances médicales développé par des cliniciens, pour fournir des évaluations objectives, réduire la charge de travail des enseignants et améliorer la formation aux compétences cliniques. Parmi ses caractéristiques clés figurent une notation en temps réel alignée sur les objectifs d’apprentissage, des options sécurisées pour la passation des examens et une intégration aux flux de travail OSCE existants. La mise en œuvre à l’Université du Minnesota a montré une fiabilité technique complète, et Treatment.com AI prévoit d’étendre la plateforme en Amérique du Nord, au Royaume-Uni et sur d’autres marchés internationaux.
Treatment.com AI (TREIF) hat eine aktualisierte Medical Education Suite (MES) vorgestellt, eine KI-gestützte Plattform zur Bewertung klinischer Fähigkeiten, die erfolgreich an der medizinischen Fakultät der Universität Minnesota eingeführt wurde. Die Plattform, die KI-simulierte Patienten und Echtzeit-Bewertungen integriert, wurde mit 240 Medizinstudierenden im dritten Jahr getestet und zeigte ein potenzielles Kosteneinsparungspotenzial von etwa 40 %. Die MES nutzt die Global Library of Medicine (GLM), eine von Klinikern entwickelte medizinische Wissensdatenbank, um objektive Bewertungen zu ermöglichen, die Arbeitsbelastung der Dozenten zu reduzieren und die klinische Ausbildung zu verbessern. Zu den Hauptmerkmalen gehören Echtzeit-Bewertungen, die auf Lernziele abgestimmt sind, sichere Prüfungsoptionen und die Integration in bestehende OSCE-Abläufe. Die Implementierung an der Universität Minnesota zeigte vollständige technische Zuverlässigkeit, und Treatment.com AI plant, die Plattform in Nordamerika, Großbritannien und weiteren internationalen Märkten auszuweiten.
Positive
- Successful deployment with 240 medical students demonstrating technical reliability
- Potential administrative cost savings of approximately 40% for educational institutions
- Platform reduces faculty preparation time and administrative workload while improving evaluation consistency
- Expansion opportunities across North America, UK, and international OSCE markets
Negative
- None.
- Updated AI-powered OSCE platform launched to enhance medical education delivery and evaluation.
- Successfully deployed at University of Minnesota with 240 students and potential of ~
40% cost savings. - Features AI-simulated patients and real-time scoring to support faster, accurate and objective assessments.
- Preliminary results presented at 2025 AAMC annual GIR meeting in Minneapolis.
VANCOUVER, BC, June 11, 2025 (GLOBE NEWSWIRE) -- Treatment.com AI Inc. (CSE: TRUE, OTC: TREIF, Frankfurt: 939) (“Treatment”) is pleased to announce that it has released its latest version of the Medical Education Suite (MES). The University of Minnesota Medical School has successfully completed a live deployment of Treatment.com AI’s new Medical Education Suite (MES), an AI-powered clinical skills assessment platform designed to support medical schools in delivering scalable, rigorous, and cost-effective Objective Structured Clinical Examinations (OSCEs).
The deployment, conducted with over 240 third-year medical students, marked the first large-scale implementation of computer-simulated patient cases developed through the Global Library of Medicine (GLM), a clinician-built medical knowledge engine. The exams ran with complete technical reliability during deployment, as well as integrating seamlessly into the school’s existing OSCE workflow.
“Our goal is to support medical schools by applying our clinical experience and AI expertise to real educational challenges.” stated Dr. Kevin Peterson, Founder and Chief Medical Officer of Treatment.com AI. “The Medical Education Suite reflects years of development in diagnostic reasoning and knowledge engineering. By introducing structured, AI-simulated patients alongside live simulated patients, and offering objective real-time scoring, we’re helping students build stronger clinical skills in the classroom and giving educators the trusted healthcare education software needed to teach and assess clinical content and behavioral approaches to complex clinical problems with confidence.”
The MES is a scalable platform designed to reduce administrative and faculty time, improve objectivity, increase evaluation consistency, and provide a robust digital infrastructure to support both live and AI-simulated formats. The focus of the platform is to help enhance the clinical skills of our next generation of healthcare professionals. By incorporating curated AI-generated cases and the supportive services provided by Treatment, the system enables:
- Significant reduction in faculty preparation and administrative workload.
- Real-time scoring that aligns directly with clinical learning objectives.
- Objective student evaluations with built-in educational and remediation support.
- Alignment with LCME standards.
- Secure and scalable exam delivery on campus or remotely.
- The University of Minnesota has calculated their Administrative cost savings ~
40% .
The MES combines AI-simulated patients with automated feedback, helping faculty assess diagnostic and management reasoning, clinical prioritization, and documentation quality, all mapped to learning objectives. Early feedback suggests that the platform enhances the student learning experience and strengthens the reliability of OSCE results.
Preliminary results of the accuracy and precision of the GLM as applied in the MES platform were presented at the AAMC’s 2025 Group on Information Resources meeting. Prof. Violato, Dr. Peterson, and their respective teams are preparing further scientific publications detailing the methodology, deployment, and outcomes of the UMN program.
Treatment.com AI is engaging with a wide variety of other schools, with the goal to extend the MES offering across North America, the UK, and to other international OSCE markets.
About Treatment.com AI Inc.
Treatment.com AI is a company utilizing AI (artificial intelligence) and best clinical practices to positively improve the healthcare sector and impact current inefficiencies and challenges. With the input of hundreds of healthcare professionals globally, Treatment.com AI has built a comprehensive, personalized healthcare AI engine — the Global Library of Medicine (GLM). With more than 10,000 expert medical reviews, the GLM delivers tested clinical information and support to all healthcare professionals as well as providing recommended tests (physical and lab), imaging and billing codes. The GLM helps healthcare professionals (doctors, nurses or pharmacists) reduce their administrative burden; creates more time for needed face-to-face patient appointments; and enables greater consistency in quality of patient support. Treatment.com AI’s GLM platform, through supporting healthcare professionals, allows for the inclusion of disenfranchised communities.
Learn more at: www.treatment.com or contact info@treatment.com.
About University of Minnesota Medical School
Founded in 1888, the University of Minnesota Medical School is one of the nation’s largest, with three campuses in Minneapolis, Duluth, and St. Cloud. It enrolls first- and second-year students at Duluth and St. Cloud, and carries clinical training at the Twin Cities campus and affiliated hospitals. The school educates future physicians through MD, graduate, undergraduate, and continuing professional development programs, supported by over 3,000 faculty members and 20+ research centers and institutes. Its core mission is to improve health through exceptional education, compassionate patient care, and leading-edge biomedical research, particularly focusing on primary care, specialty medicine, rural communities, and American Indian/Alaska Native populations. The school is nationally recognized for its NIH-funded research (ranked #21 overall, #2 among public medical schools) and emphasizes interprofessional, community-based training while promoting equity and access across diverse populations.
Learn more at: msdean@umn.edu
FOR ADDITIONAL INFORMATION, CONTACT:
Dr. Essam Hamza, CEO – Treatment.com AI Inc.
Email: ehamza@treatment.com
Media inquiries: media@treatment.com
Sales: richard.atkins@treatment.com
Call: +1 (612) 788-8900 / Toll-Free USA/Canada: +1 (888) 788-8955
Cautionary Statement
This news release contains forward-looking statements that are based on Treatment.com AI’s expectations, estimates and projections regarding its business and the economic environment in which it operates, including with respect to the implementation of its shareholder communications initiative and the timing thereof. Although Treatment.com AI believes the expectations expressed in such forward-looking statements are based on reasonable assumptions, such statements are not guarantees of future performance and involve risks and uncertainties that are difficult to control or predict. Therefore, actual outcomes and results may differ materially from those expressed in these forward-looking statements, and readers should not place undue reliance on such statements. These forward-looking statements speak only as of the date on which they are made, and Treatment.com undertakes no obligation to update them publicly to reflect new information or the occurrence of future events or circumstances unless otherwise required to do so by law.
The Canadian Securities Exchange does not accept responsibility for the adequacy or accuracy of this release.
FAQ
What is Treatment.com AI's Medical Education Suite (MES) and how does it work?
The MES is an AI-powered clinical skills assessment platform that uses AI-simulated patients and real-time scoring to conduct Objective Structured Clinical Examinations (OSCEs). It integrates with existing workflows and provides objective evaluations while reducing administrative workload.
What are the cost savings associated with Treatment.com AI's (TREIF) Medical Education Suite?
The University of Minnesota calculated approximately 40% savings in administrative costs through the implementation of the Medical Education Suite.
How many students participated in Treatment.com AI's (TREIF) initial MES deployment?
The initial deployment was conducted with over 240 third-year medical students at the University of Minnesota Medical School.
What are the key features of Treatment.com AI's (TREIF) Medical Education Suite?
Key features include AI-simulated patients, real-time scoring aligned with learning objectives, reduced faculty workload, objective student evaluations, LCME standards alignment, and secure exam delivery options.
What are Treatment.com AI's (TREIF) expansion plans for the Medical Education Suite?
The company is engaging with various schools to extend the MES offering across North America, the UK, and other international OSCE markets.
Treatment.com AI