Enroll Course: https://www.coursera.org/learn/health-economics-and-hta

In the complex world of healthcare, understanding how new technologies and treatments get approved and reimbursed is crucial. For those with a data science, clinical, or regulatory background looking to venture into Health Economics and Health Technology Assessment (HTA), Coursera offers a gem: ‘Data Science in Health Technology Assessment.’ This course is expertly designed to bridge the gap between your existing knowledge and the fundamental principles payers use to make reimbursement decisions.

The syllabus is thoughtfully structured, starting with the bedrock of **Health Economics**. This module demystifies economic evaluation, breaking down different types of analysis, and tackling critical technicalities like selecting comparators, defining the perspective of the evaluation, and determining the appropriate time horizon. It also delves into the nuances of cost identification and the essential practice of discounting future costs and benefits. For anyone new to the field, this provides a robust foundation.

Next, the course expertly navigates **Health Measurements and QALYs**. This section is vital for understanding how improvements in health are quantified, particularly focusing on the measurement of health-related quality of life. The concept of Quality-Adjusted Life Years (QALYs) is explained in detail, demonstrating its pivotal role in economic evaluations and how it translates health gains into a standardized metric.

Finally, the course culminates in **Health Economic Modelling**. This module is where theory meets practice, introducing learners to decision modelling techniques. You’ll gain an understanding of deterministic and probabilistic sensitivity analyses, essential tools for assessing the robustness of economic models. Crucially, it emphasizes best practices for conceptualizing both the problem and the model, equipping you with the skills to build and interpret these vital assessments.

**Recommendation:**

‘Data Science in Health Technology Assessment’ is an excellent starting point for anyone looking to understand the economic underpinnings of healthcare decision-making. Its clear explanations, structured syllabus, and focus on practical application make it highly recommendable. Whether you’re a data scientist aiming to specialize in healthcare, a clinician curious about market access, or a regulatory professional seeking to understand payer perspectives, this course will provide you with invaluable insights and a solid framework for navigating the HTA landscape.

Enroll Course: https://www.coursera.org/learn/health-economics-and-hta