The program at a glance
The program offers an in-depth introduction to the key concepts and techniques required for the analysis and utilization of health data. This continuing education program delves into various aspects of data processing, statistical analysis, machine learning and more, with special focus on medical practice.
It covers the key basics from an introduction to the role of data science in the health sector, data gathering and processing the different types of data and sources. Participants gain insight into the methods of statistical analysis and predictive modeling techniques. The ethical implications of handling patient information are also part of the program.
The CAS program also discusses cutting-edge topics such as the development of clinical decision support systems, using natural language processing in the health sector and conducting real-world data studies. Furthermore, we provide an overview of new technologies in the fields of artificial intelligence and the internet of things and their potential effects.
Learning goals
The program provides participants with the necessary skills and knowledge to make data-driven decisions in healthcare. They will learn to analyze complex medical data to allow for informed clinical decision-making and improve the quality of patient care. Key topics include:
- Understanding and applying data science in healthcare
- Effective visualization and targeted communication of data
- Application of machine learning and predictive modeling
- Ethics and data protection in the handling of patient data
- Integration and analysis of different types of health data
