Biomedizinische Informationswissenschaften

• Understand the fundamental concepts and principles of biomedical information science, including the structure and function of biological systems, and the role of information technology in healthcare.
• Analyze and interpret biomedical data (e.g., genomic, proteomic, and imaging data) using computational tools and statistical methods. …
• Fundamentals of design and develop healthcare information systems, including electronic health records, telemedicine systems, and personalized medicine applications.
• Apply data mining and get introduced to machine learning techniques to biomedical data to identify patterns, predict outcomes, and inform decision-making.
• Evaluate the effectiveness and efficiency of healthcare information systems, including their impact on patient outcomes, healthcare costs, and healthcare quality.
• Communicate complex biomedical information effectively to diverse audiences, including healthcare professionals, patients, and policymakers.
• Apply ethical and legal principles to the design, development, and deployment of healthcare information systems, including issues related to data privacy, security, and informed consent.

• Project Presentation (in pairs, 15 min) and report (every individual, around 20 pages) ungraded
• Written exam (120 min)

• Introduction to Biomedical Data Science by Robert Hoyt and Robert Muenchen
• Data Handling and Analysis (Fundamentals of Biomedical Science) by Andrew Blann, second edition

on campus, optional online lecture

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