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19M061MIT - Medical Informatics and Telemedicine

Course specification
Course title Medical Informatics and Telemedicine
Acronym 19M061MIT
Study programme Electrical Engineering and Computing
Module Applied Mathematics, Audio and Video Technologies, Biomedical and Environmental Engineering, Biomedical and Nuclear Engineering, Computer Engineering and Informatics, Electronics and Digital Systems, Energy Efficiency, Information and Communication Technologies, Microwave Engineering, Nanoelectronics and Photonics, Power Systems - Networks and Systems, Power Systems - Renewable Energy Sources, Power Systems - Substations and Power Equipment, Signals and Systems, Software Engineering
Type of study master academic studies
Lecturer (for classes)
Lecturer/Associate (for practice)
Lecturer/Associate (for OTC)
    ESPB 6.0 Status elective
    Condition None
    The goal Introducing students to the basic principles for systematic and standardized preparation and use of relevant health information. Also, the course introduces students to the basic principles of telemedicine: the collection of medical data about the patient with one hand and sending them to another location for examination, consultation, and establishment of diagnosis.
    The outcome Prepare students for the use of new technologies in medical informatics: creating electronic health records,information datasets, searching/retrieving desired information, enabling privacy, security, and data protection, and designing telemedicine services.
    Contents
    Contents of lectures Biomedical data. Electronic health record. Processing and standardization (HL7 and DICOM) of medical information. Databases and searching. Institutional information systems: hospital, radiology, and pharmacology. Using medical data for clinical decision support systems. Basic principles of telemedicine. Economic, legal, and ethical aspects of telemedicine.
    Contents of exercises Lectures, exercises, PC exercises, independent work
    Literature
    1. A. Holzinger, "Biomedical Informatics Discovering Knowledge in Big Data", Springer, 2014. (Original title)
    2. E. Coiera, "Guide to Health Informatics", CRC Press, 2015. (Original title)
    3. H.K.Huang, "PACS and Imaging Informatics", John Wiley & Sons, 2010. (Original title)
    4. Sajeesh Kumar, Bruce E. Dunn (Eds.), "Telepathology", Springer, 2009. (Original title)
    5. H. Eren, J.G. Webster, "Telemedicine and Electronic Medicine", CRC Press, 2016. (Original title)
    Number of hours per week during the semester/trimester/year
    Lectures Exercises OTC Study and Research Other classes
    3 1
    Methods of teaching lectures, exercises, PC exercises, independent work.
    Knowledge score (maximum points 100)
    Pre obligations Points Final exam Points
    Activites during lectures 0 Test paper 40
    Practical lessons 30 Oral examination 0
    Projects 30
    Colloquia 0
    Seminars 0