Attribut:Beschreibung-EN

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Dies ist ein Attribut des Datentyps Text.

Unterhalb werden 20 Seiten angezeigt, auf denen für dieses Attribut ein Datenwert gespeichert wurde.
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Important standards of medical informatics  +
The mathematical and statistical basics  +
Theorems and methods of algebra, analysis, logic, numerical mathematics, probability theory and statistics, cryptography that are essential for BMHI  +
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  +
Test LO 4  +
Policies, ethical, legal, economic and socio-technical aspects  +
Policies and regulatory frameworks for information handling in health care  +
The legal basis for medical documentation, including DSGVO (the European Union's General Data Protection Regulation) and the 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 concepts 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, statistical and informatics basics  +