Attribut:Beschreibung-EN
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Dies ist ein Attribut des Datentyps Text.
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The rules and the general conditions for medical consultations on the internet +
Patients' possibilities of playing an active role in their individual health care through information services (e-Health Literacy e.g. use of apps, internet portals, personal health record, sensor-based information systems, telemedicine) +
Appropriate documentation and health data management principles (incl. the ability to use and set up health and medical coding systems) +
Diagnoses using the current version of the ICD-GM (International Statistical Classification of Diseases and Related Health Problems, xxRevision German Modification) for inpatient and outpatient treatment. +
Coding of steps, interventions and procedures using OPS +
The principles of the DRG-system, the information and tools required to assign a DRG, and the key figures relevant for the DRG-system, including payment system and additional revenues. +
Classifications, terminologies and ontologies in the context of healthcare +
Nomenclatures, (controlled) vocabularies, terminologies, ontologies and taxonomies in BMHI, e.g. SNOMED CT, LOINC +
Other medical classifications and terminologies, their structure and field of application +
Biomedical and medical theoretical knowledge +
Fundamentals of human functioning and bio-sciences (anatomy, physiology, microbiology, genomics and clinical disciplines such as internal medicine, surgery, etc.) +
Fundamentals of what constitutes public health, from physiological, sociological, psychological, nutritional, emotional, environmental, cultural, spiritual perspectives according to WHO +
Principles of medical decision-making and diagnostic and therapeutic strategies, e.g. basic medical expertise using use cases as an example / selected clinical pictures +
The main features of the organisation of health institutions and the entire health system (structure and organisation of treatment processes), inter-organisational aspects, shared care +
Gene and protein databases and the corresponding search methods +
Extracting relevant information from databases +
Simple scripts for data analysis (e.g. in R, Python, Matlab) +
The most important statistical measurements for data evaluations +
Different types of data and their importance for generating knowledge +
Algorithm for searching and mapping sequences +