MDS Europe - UMIT - University for Health Sciences, Medical Informatics and Technology

University for Health Sciences, Medical Informatics and Technology (UMIT)

The University for Health Sciences, Medical Informatics and Technology (UMIT) in Austria is devoted to the study of health and life sciences including public health, health policy, health management, nursing science, medical informatics/bioinformatics and related disciplines. The mission of the Institute of Public Health, Medical Decision Making and Health Technology Assessment (IPH) at UMIT is to develop and apply interdisciplinary methods to guide the comprehensive, systematic and practice-oriented assessment of measures and procedures in public health and medicine. The research of the Institute supports decision makers and providers in improving the quality, effectiveness, equity, and cost-effectiveness of health care and reducing medical risks in order to enhance the health status of individuals and society. The scientific focus of the Institute is on an interdisciplinary public health approach; the aim is to evaluate the effect of health technologies on short-term and long-term benefits, quality-of-life, risks, costs, cost-effectiveness and access for individuals, populations and the overall health care system. Key research areas are: oncology, cancer screening and treatment and development of patient-tailored health care strategies. A methodological focus is on epidemiologic analyses, causal inference from observational studies, quality-of life research, and health technology assessment.

Our team

Professor Uwe Siebert, MD, MPH, MSc, ScD

Uwe is a Professor of Public Health and Health Technology Assessment (UMIT) and an Adjunct Professor of Health Policy and Management (Harvard University). He combines expertise in advanced methods in comparative effectiveness research, quality-of-life research and epidemiology with more than two decades of experience in efficacy trial design, observational effectiveness studies, advanced methods of controlling for confounding, and health technology assessments (HTA) in oncology. His methodological research focuses on evaluations of public health interventions, and biomarker and diagnostic procedures, with a particular focus on health-related quality of life and personalized medicine. He has advised several government and HTA agencies on methods and has performed numerous health technology assessment reports for HTA agencies and health authorities. He is also the representative of the German Society of Medical Informatics, Biostatistics and Epidemiology (GMDS) for clinical guideline development, and he participates in guideline development committees.

Annette Conrads-Frank, Dr. rer. nat.

Annette is a Senior Scientist at the Institute of Public Health, Health Services Research and HTA, Dept. of Public Health, Health Services Research and Health Technology Assessment at UMIT. Her research interests are in decision-analytic modeling, cost-effectiveness and cost-utility analysis in cardiovascular disease, cancer, hepatitis C, neurologic diseases and rheumatoid arthritis. Recently, her focus has been on biomarker- and risk score-based interventions and personalized medicine. Further topics include population modeling, prevention, evaluation of emerging technologies and assessment of medical devices.

Ass. Prof. Ursula Rochau, MD, MSc

Ursula is an Assistant Professor at the Institute of Public Health, Medical Decision Making and Health Technology Assessment, Dept. of Public Health, Health Services Research and Health Technology Assessment at UMIT. She is the Coordinator of the Personalized and Precision Medicine Program at the Institute. Her research interests include applying decision-analytic modeling, particularly in cancer-related topics and cost-effectiveness analysis in the framework of health technology assessment (HTA) as well as in the clinical context of routine health care and comparative effectiveness. One focus of her current work lies in personalized cancer medicine for chronic myeloid leukemia, multiple myeloma and breast cancer.

Marjan Arvandi, MSc, Dr. Phil

Marjan is a Senio Scientist at the Institute of Public Health, Health Services Research and Health Technology Assessment, Dept. of Public Health, Health Services Research and Health Technology Assessment at UMIT. She is involved as biostatistician in several research projects and performs statistical analysis with a focus on routine database analysis and economic evaluation. She is a member of the Austrian Statistical Society (ÖSG) and the Austrian Society of Epidemiology (OeGEpi). Her research interests include survival analysis, Bayesian hierarchical/ frequentist meta-analysis, meta-regression, causal inference, and cost-effectiveness analysis.

Igor Stojkov, MPharm

Igor is a Junior Scientist and an ERAWEB Doctoral Student at the Institute of Public Health, Medical Decision Making and Health Technology Assessment, Dept. of Public Health, Health Services Research and Health Technology Assessment at UMIT. His research interests include health technology assessment and decision-analytic modeling. His current work is focused on implementing causal inference methods to adjust for confounding, the evaluation of health-related quality-of-life measurement instruments, and the establishment of a core outcomes set in studies of myelodysplastic syndrome (MDS).