Public Health, Health Services Research and HTA

HTADS Continuing Education Program

HTADS - Program on Health Technology Assessment & Decision Sciences

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

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 Sciences (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.

HTADS Program Director:

Prof. Uwe Siebert, MD, MPH, MSc, ScD
Professor of Public Health (UMIT)
Adjunct Professor of Health Policy and Management (Harvard University)
Director, Institute of Public Health, Medical Decision Making and Health Technology Assessment
Chair, Department of Public Health, Health Services Research and Health Technology Assessment
UMIT - University for Health Sciences, Medical Informatics and Technology

Doctoral Program


Doctoral Program Health Technology Assessment


Certificate Courses

M1: 5-Day Certified University Course
Winter School in Clinical Epidemiology

17 - 21 February 2020

M2: 4-Day Certified University Course
Introduction to Health Technology Assessment


M3: 3-Day Certified University Course
Modeling Approaches for HTA: A Practical Hands-on Workshop

5 - 7 February 2020

M4: 5-Day Certified University Course
Causal Inference for Assessing Effectiveness in Real World Data and Clinical Trials: A Practical Hands-on Workshop

16 - 20 March 2020

M5: 3-Day Certified University Course
Scientific Reporting and Writing
7 - 9 November 2019

M6: 3-Day Certified University Course
Introduction to Statistics - An Applied 3-Day Hands-On Workshop with R

11 - 13 November 2019
M7: Big Data Science  planned for 2020/21
Certificate Courses in Statistics and Epidemiology 2019 / 2020

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

'Meine Intention, diesen Kurs zu besuchen, war HTAs besser verstehen und bewerten zu lernen. Diese Erwartung wurde vom Kurs voll erfüllt! In diesem perfekt organisierten Lehrgang wurde die komplexe Thematik von HTA und Decision-Analytic Modeling von Herrn Univ.-Prof. Uwe Siebert in einer sehr übersichtlich strukturierten Weise aufgearbeitet und es wurde ein fundierter Einblick in die Methodik von HTA und Decision-Analytic Modeling gegeben.'