Attribut:Beschreibung-EN
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Dies ist ein Attribut des Datentyps Text.
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The student knows examples of machine learning approaches and can explain the basic principles for their evaluation using the example of artificial neural networks. +
The student knows the term Personalised Medicine or Precision Medicine and medical applications of machine learning methods or AI systems, especially in the context of the Medical Device regulation. +
The student understands patient empowerment: the possibilities of patients to take an active role in health care, e.g. through patient apps. +
The student knows tasks and functions of electronic health insurance cards and health professional cards as well as the principle of the telematics infrastructure and can explain it +
The student knows the term interoperability and its necessity, levels and requirements and can explain these using a clinical example. +
The student can name important international standards of medical informatics. +
The student understands the application use of telemedicine applications and can explain their framework conditions. +
The student can understand and apply fundamental principles of data protection. +
The student can explain und distinguish pseudonymised and anonymised patient data. +
The student can explain the technical and organisational measures used for secure handling of patient data. +
The student understands legal principles in the context of medical documentation or information systems and can explain them. +
The student can name regulatory requirements and data standards for medical research. +
The student can do medical literature searches, use search syntax correctly and evaluate the quality of knowledge sources. +
The student can explain the meaning of controlled vocabulary in medicine and use it in literature search. +
The student knows and can explain the importance of recall and precision when searching in databases. +
The student knows drug information systems and can apply them. +
The student knows quality and development stages of guidelines and can explain them. +
The student can name examples of medical bio‐ signals, knows filter procedures for biosignals and can explain them. +
The student knows examples of medical images and can name their properties. +
The student knows procedures for image processing, can explain and apply them. +