Attribut:Beschreibung-EN

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Queries on common databases  +
Measures to ensure high data quality (based on FAIR principles)  +
Requirements for information processing in clinical studies on EDC (Electronic Data Capture) e.g. from registries (German Cancer Registry)  +
Data extraction from telemedicine and other applications  +
Ethical, political, regulatory and social aspects for dealing with big data  +
Important standards of medical informatics for data acquisition, analysis, exchange  +
Analysis methods, e.g. statistical models, "machine learning" and artificial intelligence methods  +
Different types of knowledge-based systems and medical applications of Clinical Decision Support Systems (CDSS) 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 personalized medicine and medical applications of machine learning or artificial intelligence systems, especially in the context of medical device law  +
information logistics in health information systems  +
Electronic Health Records (EHR) as a part of health information systems  +
the concepts of pseudonymised and anonymised patient data  +
regulatory requirements and data standards for medical research  +
the basic concepts and terms enterprise functions, processes and entity types in the field of health informations systems  +
scope and tasks of management of health information systems  +
types of integration (e.g. data integration, semantic integration, user interface integration, semantic integration, feature and process integration) in Health Information Systems  +
integration technologies and tools for health information systems (e.g. transaction management, communication server, service oriented architectures)  +
scope and tasks of strategic management of health information systems  +
strategic planning (strategic information management plan, strategic alignment)  +