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College of Pharmacy at Gulf Medical University Conducts Workshop on Responsible Use of Artificial Intelligence in Clinical Rotations

The College of Pharmacy, Gulf Medical University (GMU), successfully conducted a workshop titled “Responsible Use of Artificial Intelligence (AI) in Clinical Rotation: Best Practice Guidance” on Friday, February 13, 2026, at Lecture Hall 12, GMU. The workshop aimed to equip pharmacy students undertaking clinical rotations with essential knowledge and practical skills for the ethical, safe, and effective use of artificial intelligence in clinical practice.

The workshop was inaugurated with a welcome address and launch of the Best Practice Guidance for Responsible Use of AI in Pharmacy Education by Prof. Muhammad Al-Shorbagy, Dean, College of Pharmacy, highlighting the growing role of AI in healthcare and the importance of responsible adoption in clinical training.

Workshop on Responsible Use of AI

Dr. Shabaz Mohiuddin Gulam, Lecturer and Clinical Preceptor, delivered a session, focusing on comprehensive guidance covering key domains, including core principles of AI use, acceptable and good practice applications, prohibited and high-risk uses, clinical accuracy and patient safety, privacy and data protection, professionalism, recognition of common AI failure modes in pharmacy, and academic integrity and disclosure. The session emphasized critical thinking, ethical considerations, and accountability while integrating AI tools into clinical learning and patient care.

A major highlight of the workshop was the Small Group Learning (SGL) activities, facilitated by a team of clinical educators and preceptors, including Dr. Ruth Alex, Dr. Shabaz Mohiuddin Gulam, Dr. Said Nabil, Dr. Anju Thomas, Dr. Selma Castell, and Dr. Omaimah Toufiq. These interactive sessions provided hands-on learning through structured activities:

  • AI vs. Guidelines (Case-Based Exercise): Students compared AI-generated clinical recommendations with established clinical guidelines to assess accuracy, reliability, and clinical relevance.
  • Data Privacy Simulation: This exercise focused on patient confidentiality, ethical data handling, and compliance with privacy regulations when using AI tools.
  • SOAP Note Preparation Using AI Tools: Students utilized AI platforms to draft clinical SOAP notes, followed by critical evaluation and refinement under faculty guidance to ensure clinical accuracy and professionalism.

The workshop concluded with student group presentations, reflections, and open discussions, allowing participants to share insights, challenges, and best practices. Students expressed strong appreciation for the practical orientation of the program and the opportunity to explore responsible AI integration in real-world clinical scenarios.

This initiative reflects GMU’s ongoing commitment to innovation in pharmacy education, preparing future pharmacists to responsibly harness emerging technologies while maintaining the highest standards of patient care, ethics, and professionalism.

Aligned with the United Nations Sustainable Development Goals (SDGs)

SDG 4: Quality Education, SDG 9: Industry, Innovation, and Infrastructure, SDG 16: Peace, Justice, and Strong Institutions