Attribut:Beschreibung-EN
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Dies ist ein Attribut des Datentyps Text.
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Important standards of medical informatics for data acquisition, analysis, exchange +
Analytical methods (statistical models, machine learning and artificial intelligence methods) +
Different types of knowledge-based systems and medical applications of CDSS (Clinical decision support system) to optimise patient care. +
Examples of machine learning methods and the basic principles for their evaluation using artificial neural networks as an example. +
The concept of personalised medicine and medical applications of machine learning or AI systems, especially in the context of the Medical Devices Act +
The importance of conceptualizations of controlled vocabularies for medicine +
technical and organisational measures for the secure handling of patient data in health care and research as well as procedures for the secure transmission and storage of patient data and their differentiation from unsafe methods +
Ethical, legal and socio-technical aspects +
Policies and regulatory conditions for the handling of information in the health sector +
The legal basis of medical documentation, including DSGVO and Cyber Security Act. +
Medical Devices Act (MPG) +
Regulations for the internet presentation of practices/clinics and the prerequisites for medical consultations on the Internet +
The key aspects of health administration, health economics, health quality management and resource management, patient safety initiatives, public health services and outcome measurement +
Basic terms and methods of quality and risk management +
Models and methods of interdisciplinary competences +
Models and methods from the field of social and communicative competence (e.g. conflict management, team management) +
Models and methods from the field of management skills (e.g. project management, conflict management, team management, design project). +
Models and methods from the field of personal competence (e.g. planning and organisational competence, reflective skills, self-organisation and control) +
The mathematical and statistical basics +
Theorems and methods of algebra, analysis, logic, numerical mathematics, probability theory and statistics, cryptography essential for BMHI +