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| Annual Tuition Fee: | ≈ € 2,400 | ||
| Location: | Hall in Tirol / Austria / View location on map ▾ Hide location on map ▴ | ||
| Duration: | 36 months | Start Date: | October |
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| Credits (ECTS): | 120 | ||
| Languages: | English | ||
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)". The comprehensive assessment of any action in medicine, public health, or health care management falls into the realm of HTA. The primary focus of HTA is on evaluating the intended benefits versus the unintended risks of health technologies. Because of its direct policy implications, HTA is increasingly in demand worldwide.
Evidence-based Health-Care (EBHC) was described by Appleby in 1995 as "a shift in the culture of health care provision, away from basing decisions on opinions, past practice and precedent, and towards making more use of science, research and evidence to guide decisions" and represents the second important part of the program.
Decision Science (DS), the third fundamental part of the program, is the application of explicit and quantitative methods to analyze decisions under conditions of uncertainty (e.g., utility theory, medical and public health decision making, meta-analysis, decision-analytic modeling, benefit-risk analysis, cost-effectiveness analysis). DS has become increasingly relevant to health care policymakers because it is increasingly used to synthesize good evidence to assess long-term benefit-harm balance and cost-effectiveness of new interventions in health and medicine in a transparent and explicit manner.
In order to keep pace with developments in the health sector and the increasing demand for professionals skilled in these three relevant disciplines, the UMIT - HTADS Program will provide a comprehensive training in the key issues of HTA, EBHC and DS.
For information on the content of the Masters Program and application and selection procedures:
Uwe Siebert, MD, MPH, MSc, ScD
Professor of Public Health (UMIT)
Adjunct Professor of Health Policy & Management (Harvard University)
Director, Institute for Public Health, Medical Decision Making and Health Technology Assessment
Chair, Department of Public Health, Information Systems and Health Technology Assessment
UMIT - University for Health Sciences, Medical Informatics and Technology
Eduard Wallnoefer Center I, A-6060 Hall i.T., Austria
Phone: +43 (0)50 8648-3990
Fax: +43 (0)50 8648-673901
E-mail: htads@umit.at
Internet:
For general student information at UMIT
Christa Ramnek
Admission Department, Student Service
UMIT - University for Health Sciences, Medical Informatics and Technology
Eduard Wallnoefer Center I, A-6060 Hall i.T., Austria
Phone: +43 (0)50 8648-3837
Fax: +43 (0)50 8648-673837
E-mail: christa.ramnek@umit.at
Program Content
The Program has a modular curriculum. All modules combine lectures, discussions, case study group work, and hands-on computer lab sessions. Aside from the scientific and methodological focus of the program, students will be encouraged to translate their theoretical knowledge into practice by focused trainings and applied exercises. The faculty consists of leading international experts from universities, industry, and HTA agencies and representatives from other relevant areas who have committed to providing outstanding instruction in state-of-the-art principles.
The following modules are covered in the Masters Program:
HTA Principles, Methods I & Practice; Biostatistics I; Clinical Epidemiology & Public Health; Literature Search, Systematic Review & Meta-Analysis I; Economic Evaluation in Health Care; Decision Science & Modeling I; HTA Methods II & Specific Aspects; Health Outcomes, Quality of Life & Patient-Reported Outcomes; Health Policy Management, Healthcare Systems, Reimbursement & Country-Specific HTA; Biostatistics & Epidemiology II; Meta-Analysis II; Decision Science & Modeling II; Scientific Writing & Skill Training
A specific characteristic of the program is its special focus on quantitative methods and unique training in decision sciences as well as the combination of theoretical and applied case examples presented by professionals in the field.
You are normally required to take an English Proficiency Test.
Most European Universities recognise the IELTS test.
Take testAdmission to the Masters degree program requires
* the successful completion of a university program (at least a bachelor degree level) in the field of medicine, public health, health sciences, epidemiology, statistics, pharmacy or related fields, provided that it has a significant focus on healthcare or sufficient relevant professional experience OR
* the successful completion of a post-secondary training program of a minimum duration of six semesters and sufficient relevant professional experience, or a diploma in a related field AND
* a good command of written and spoken English language.
| Minimal degree required: | Bachelor's degree |
| Minimal amount of work experience | Not specified |
| IELTS Band: | 7.0 |
| TOEFL Paper-based: | 600 |
| TOEFL Computer-based: | 250 |
| TOEFL Internet-based: | 100 |
It became possible to establish private universities in Austria in 1999. The legal basis for such universities is provided for by the Federal Law on the Accreditation of Educational Establishments as Private Universities (University Accreditation Act - UniAkkG), Federal Law Gazette I No. 168/1999, as amended in the Federal Law Gazette I No. 54/2000.
You can contact Sandra Mair to ask a question about Health Technology Assessment, Evidence Based Healthcare & Decision Science at UMIT - Private Universität Für Gesundheitswissenschaften, Medizinische Informatik und Technik.
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