MD Students

Policy on Student Use of AI

This policy outlines principles and guidelines for the appropriate use of artificial intelligence (AI) tools, including but not limited to generative AI systems, machine learning platforms, and image recognition software, by medical students. It emphasizes ethical considerations, responsible usage, proper citation of AI tools, and HIPAA compliance in clinical documentation. Any use of AI for clinical documentation must adhere to the policies and guidelines of the clinical site and comply with HIPAA regulations to ensure the confidentiality and security of patient information.

Policy on Access to Student Evaluations

To ensure the integrity and fairness of the grading process, this policy restricts access to course-related evaluations until after all final grades have been officially submitted and recorded.

This policy applies to all directors and coordinators responsible for the administration of any course, block, clerkship, or elective within the medical education program leading to the MD degree.

Protocols and Standards for Assessments in Preclerkship and Clerkship

This policy establishes the protocols and standards for students in the Preclerkship Phase who will use the ExamSoft examination system for graded and non-graded assessments, and for students in the Clerkship Phase who will use the online National Board of Medical Examiners (NBME) shelf examination system and the ExamSoft examination system (during Intersessions) for graded and non-graded assessments. This policy is in place to ensure that students have efficient, fair, and positive experiences on assessment days.

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