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AI in Global Health Research (Coming soon!)

Course Description

This course offers an in-depth exploration of the global health research (GHR) landscape, with a particular focus on the essential role of implementation research (IR) in advancing health systems and programs. Recognized as critical to overcoming barriers to effective healthcare delivery, IR addresses implementation bottlenecks, identifies optimal approaches for specific contexts, and fosters the uptake of research findings—ultimately improving healthcare access and quality. While definitions of IR vary among institutions, there is a shared understanding of its systematic approach to overcoming barriers in implementing health interventions, strategies, and policies. IR is demand-driven, with research questions developed collaboratively alongside relevant stakeholders in the health system to address real-world needs.

In this course, participants will explore transformative approaches focusing on the integration of artificial intelligence (AI) as a powerful tool for enhancing global health initiatives. Through an interdisciplinary lens, critical topics such as health equity, data-driven decision-making, global health metrics, and cross-cultural practices will be examined. Interactive sessions, debates, and expert-led discussions will provide participants with the skills to use AI and other innovative methods in impactful global health research and policy development.

Tailored for researchers in MSc or PhD programs, this module emphasizes ethical research design, equitable health policy, and advanced methodologies for addressing complex health challenges worldwide. Students will cultivate essential skills for inclusive, real-world research that addresses pressing health issues across diverse settings. Topics covered include Global Health Research Methodologies, Health Disparities, Application of Technology in Health Solutions, Ethics in Global Health Research, Implementation Research Projects, and Promotion of Cross-Cultural Collaboration. This 0.25 FCE course aims to equip students with a comprehensive understanding of current trends and practical strategies in GHR.

Course Objectives:

  • Describe key concepts and current trends in global health research, with a focus on the role of AI and implementation research (IR) in overcoming barriers to effective healthcare delivery and advancing health outcomes.
  • Critically evaluate global health metrics, research methodologies, IR approaches, and AI applications to identify optimal solutions for diverse health settings.
  • Engage in interdisciplinary approaches to address complex health issues across various socioeconomic and cultural contexts, promoting the uptake and scalability of evidence-based health interventions.
  • Explore ethical and equitable frameworks for AI, IR, and other emerging technologies in global health research, emphasizing the importance of demand-driven, stakeholder-informed research.
  • Develop skills in articulating the relevance and impact of research on global health policy and practice, with a focus on sustainable, context-specific health solutions.