Michael Havranek is a project leader and senior research fellow at the University of Lucerne. He graduated from the University of Zurich with a master’s degree in Human Medicine, a master’s degree from the Faculty of Science (mathematisch-naturwissenschaftliche Fakultät, MNF), and a bachelor’s degree in Psychology. Afterwards, he earned an MD (Dr. med.) and a PhD (Dr. sc. nat.) from the University of Zurich and the Psychiatric University Hospital Zurich (MD-PhD program). In the process, he furthermore visited the Ludwig Maximilian University of Munich (Germany).
In his current role at the University of Lucerne, his research focuses on various healthcare management topics such as healthcare quality and costs and healthcare process and system improvements. Within these topics, he is particularly interested in using techniques and approaches from other applied fields (such as machine learning) on both established healthcare data sources (e.g., routine administrative data) and only recently available ones (e.g., electronic health records). With this applied research, he strives to develop improvements and innovations in the Swiss healthcare system.
Michael Havranek’s primary research expertise lies in the field of healthcare quality and costs with a focus on hospital comparisons. However, he has an overarching interest in using ideas and concepts from other applied fields (such as machine learning) to improve healthcare processes and systems. Furthermore, he is particularly interested in exploring the role and opportunities of new technologies and data sources arising from the current digitalization in healthcare.
In summary, his main interests are:
- Hospital quality and costs, comparisons, and indicators
- Healthcare process and system improvements
- Statistical modelling and machine learning