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CODE: NHA06
DURATION: 3 Days | 5 Days | 10 Days
CERTIFICATIONS: CPD
This course explores the intersection of data science, artificial intelligence and public health policy to strengthen decision making based on evidence on a global scale. It emphasizes practical applications of AI in global health governance, monitoring and strategic policy formulation. Through a blend of theory, case studies and interactive sessions, participants will learn how to apply advanced analytical frameworks, AI-driven tools and policy evaluation methods to assess the impact of health interventions, optimize resource allocation and improve population health outcomes.
This course is available in the following formats:
Virtual
Classroom
Request this course in a different delivery format.
Course Outcomes
Delegates will gain the knowledge and skills to:
Apply data-driven analytical techniques to evaluate global health policies and programs.
Utilize AI tools to enhance health data interpretation, modelling, and forecasting.
Develop and assess performance indicators for evidence-based policy evaluation.
Integrate ethical and governance considerations in AI-enabled health systems.
Formulate actionable recommendations for strengthening global health decision-making.
Employ comparative analytics to benchmark global best practices and improve policy outcomes.
At the end of this course, you’ll understand:
This course is designed for health policy professionals, global health practitioners, public health analysts, data scientists, researchers and decision makers working in international organizations, government agencies, NGOs and healthcare institutions who are interested in leveraging data analytics and AI to drive impactful health policy and decisions.
✓ Modern facilities
✓ Course materials and certificate
✓ Accredited international trainers
✓ Training materials and workbook
✓ Access to online resources
