Katharina Fischer
Assistant Professor at University of Duisburg-Essen
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Biography
Katharina Blankart is an assistant professor in empirical health economics at the Faculty of Business Administration and Economics of University of Duisburg-Essen, a full member of the health economics research center CINCH and head of the junior research group “Empirical Analysis of Health Care Markets (EACH)”. Blankart‘s research covers innovation management, regulatory science and analysis of health care system performance. Her research projects address market access and diffusion of health technologies, valued-based decision-making by health systems and providers, and the impacts of cost-efficiency measures on utilization. She is particularly interested in studying pharmaceutical markets and ambulatory care settings. Her projects use econometric methods that are informed by administrative data, document analyses and surveys. She is the recipient of the 2013 research award of the Society for Health Policy and Law to study health care systems.
Katharina Blankart received her degrees in economics and business research from Ludwig-Maximilians-Universität München (LMU). She holds a PhD in business administration with a focus on health economics from (LMU). She was head of the junior research group on pharmacoeconomics at Hamburg Center for Health Economics (HCHE), University of Hamburg between 2012 and 2016. In 2015/2016, she collaborated with Columbia Business School, New York, USA as visiting researcher.
Education
05/2012 Completion of dissertation (Dr. oec. publ.) at Ludwig-Maximilians-Universität München, Germany
2009–2011 Post gradual studies, Master of Business Research, Ludwig-Maximilians-Universität München, Germany
2003-2008 Economics, Ludwig-Maximilians-Universität München, Germany
Honours and Awards:
- 17th Research Award of the Society for Health Policy and Law 2013, Munich
Fields of Research:
- Market access and diffusion of innovations
- Competition and agent behaviour in regulated health care markets
- Management of technologies and health
- Quantitative methods
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