Health Economics and HTA: A Data-Driven Approach

The intersection of healthcare, data science, and economics is transforming how medical treatments are evaluated and funded. Understanding how new technologies prove their value is essential for navigating today's complex healthcare landscape. This course provides a structured introduction to Health Economics and Health Technology Assessment (HTA). You will explore how clinical data, economic models, and modern real-world evidence are combined to help payers and policymakers make informed reimbursement decisions for new medical interventions. What you'll learn: - Understand the fundamental terminology and concepts of health economics and HTA. - Explore how payers evaluate the clinical and economic value of new health technologies. - Analyze the role of modern data science and real-world data in shaping healthcare policies. - Learn the basic frameworks used for cost-effectiveness and budget impact analysis. - Apply foundational concepts to understand real-world reimbursement decision-making processes. The content begins with essential definitions and economic principles before moving into practical frameworks for technology assessment and data interpretation. You will read through clear explanations, conceptual models, and written case studies that bridge the gap between clinical science and economic policy. Designed for beginners, this course is ideal for data professionals, clinical researchers, or anyone looking to enter the field of health economics with no prior experience required. Start reading today to build a strong foundation in health technology assessment and healthcare economics.