Biomedical Information Science
Biomedizinische Informationswissenschaften
6 CPWinterEN
Contents
Part 1: Introduction to Biomedical Information Science Part 2: Biomedical Data Analysis Part 3: Healthcare Information Systems Part 4: Data Mining and Machine Learning in Biomedicine Part 5: Evaluation of Healthcare Information Systems Part 6: Ethics and Policy in Biomedical Information Science Part 7: Communication and Collaboration in Biomedical Information Science
Learning outcomes
The module include practical projects in biomedical informatics and data science to apply the learned concepts. It also covers ethical aspects and responsible handling of working with medical data. Upon completing the Bachelor course students will be able to • 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.
Assessment
Prerequisite: • Project Presentation (in pairs, 15 min) and report (every individual, around 20 pages) ungraded Final Modul Examination: • written exam (120 min)
Literature (2)
- Introduction to Biomedical Data Science by Robert Hoyt and Robert Muenchen
- Data Handling and Analysis (Fundamentals of Biomedical Science) by Andrew Blann, second edition
Remarks
on campus, optional online lecture
Source: BTU's module description · retrieved 29 Sep 2026Original