| INFMW Digital Health | Course | INF | |
|---|---|---|---|
| Lecturers : |
Prof. Dr. Thomas Schrader
eMail
|
Term | 1 |
| Course Classification : | Master Informatik (Winter-Immatrikulation), Vertiefung Medizininformatik | CH | 4 |
| Language : | Deutsch | Type | VÜS |
| Type of examination : | PL | Credits | 6 |
| Method of evaluation : | term paper with oral examination | ||
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| Teaching aims : | Students can evaluate medical process and health data, assess their data quality and develop suggestions for improving data quality. They can embed digital medical data in different contexts and use it in various application scenarios: e.g. in the context of disaster management, with geo-data, with care, movement and therapy data. Students will be able to explain and implement the basic concepts and requirements in the field of nursing informatics. They can develop and implement digital application concepts for medicine. | ||
| Contents : | Introduction to medical data analysis & personalized medicine, medical data and geoinformation, Special fields of application of digital medicine: disaster management, health coaching and nursing informatics, Application of medical standards (HL7, DICOM, SNOMED, LOINC), simulation of medical processes | ||
| Literature : | Internet of Things and Big Data Technologies for Next Generation Healthcare (Studies in Big Data (23)). 1st ed. 2017. Springer; 2017:398. Handbook of Data Quality: Research and Practice_. 2013th ed. Springer; 2013:450. Edmunds Margo, Hass Christopher, Holve Erin. Consumer Informatics and Digital Health: Solutions for Health and Health Care. 1st ed. 2019. Springer; 2019:427. Haring R. Gesundheit Digital: Perspektiven Zur Digitalisierung Im Gesundheitswesen. Springer | ||