Learning objectives
The educational objectives of this course are to provide students with a thorough understanding of evidence-based medicine (EBM) and its application in clinical practice. Students will learn to conduct systematic reviews and meta-analyses, and will be introduced to AI tools for analyzing medical literature. By the end of the course, students will be able to critically appraise and synthesize medical research, and effectively use EBM principles to enhance patient care and healthcare outcomes.
Prerequisites
No pre-requisites
Course unit content
This course explores the principles and practices of evidence-based medicine (EBM). The course covers the process of conducting systematic reviews and meta-analyses, and introduces students to the use of artificial intelligence (AI) in analyzing large bodies of medical literature, known as the bibliome. Students will gain an understanding of how EBM is applied to improve clinical decision-making and healthcare outcomes, leveraging both traditional and advanced technological approaches.
Full programme
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Bibliography
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Teaching methods
The teaching methods for this course will primarily consist of frontal lessons, where instructors deliver detailed lectures on the principles and practices of evidence-based medicine (EBM). These sessions will be enhanced by interactive discussions, hands-on workshops, and practical examples to illustrate key concepts and engage students actively.
Assessment methods and criteria
Assessments will be used to determine the grade for this course. These will include a combination of written assignments, presentations, and projects. Students will be evaluated on their understanding of the course material, their ability to apply key concepts, and their participation in class discussions. The comprehensive evaluation process is designed to ensure that students not only grasp theoretical concepts but also demonstrate practical skills and critical thinking.
Other information
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