HTADS Continuing Education Program

What is the Continuing Education Program on Health Technology Assessment & Decision Science (HTADS)?

Flyer - HTADS Courses Overview

Health Technology Assessment (HTA) has been defined by the International Network of Agencies for HTA (INAHTA) as "a multidisciplinary field of policy analysis, studying the medical, economic, social, and ethical implications of development, diffusion and use of health technologies (e.g., drugs, devices, surgical procedures, prevention techniques)".

In conducting HTA, the discipline of decision sciences has become increasingly relevant.

Decision Science (DS) is the application of explicit and quantitative methods to analyze decisions under conditions of uncertainty (e.g., meta-analysis, decision-analytic modeling, cost-effectiveness analysis).

In recent years, HTA and DS have become very important to health care policymakers.
In order to keep pace with these developments, the UMIT-HTADS Program was designed to provide excellent quality education and comprehensive training in the key issues of HTA and DS for anyone involved in the health sector.

In case of international travel restrictions, the courses will be organized as synchronous online courses.

Comments of participants of our previous courses:

'The 4-day course helped me to better understand the framework for HTA, and put the bits and pieces together. The course was dynamic, and assuming that people have some basic previous knowledge, it provides with the maximum effect. We were wondering that the participants were still smiling after 12 hours of work - quite uncommon for any training course.'

Mikk Jurisson, MD
Merck Sharp & Dome, Managing Director Baltics

"Dedicated lecturers who present complex content in an comprehensible way with the help of clearly structured slides, the provision of Stata examples and solutions to support one's own model implementation, an open atmosphere that provides room for questions, their answers and discussion - for me, it was above all these characteristics that made the causal inference workshop an instructive and recommendable seminar week."

Andrea Leiter-Scheiring, Associate Professor
Department of Economics, University of Innsbruck