SubjectsSubjects(version: 945)
Course, academic year 2023/2024
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Introduction to Medical Informatics - FG50044
Title: Introduction to Medical Informatics
Guaranteed by: Department of Medical Biophysics (15-170)
Faculty: Faculty of Medicine in Hradec Králové
Actual: from 2023
Semester: summer
Points: 0
E-Credits: 2
Examination process: summer s.:
Number of self-study hours: 24 [hours/semester]
Hours per week, examination: summer s.:0/6, C [HS]
Capacity: 45
Min. number of students: 5
4EU+: no
Virtual mobility / capacity: no
Key competences:  
State of the course: not taught
Language: English
Teaching methods: full-time
Teaching methods: full-time
Level:  
Note: course can be enrolled in outside the study plan
enabled for web enrollment
Guarantor: MUDr. Vladimír Mašín, Ph.D.
Pre-requisite : {Malá skupina pro FG50044}
Incompatibility : FV059
Interchangeability : FV059
Is incompatible with: FV059
Is interchangeable with: FV059
Examination dates   Schedule   
Annotation
Last update: Kateřina Kubečková (24.01.2023)
The aim of this subject is to introduce students to the basic tools and methods used in informatics, with a special regard to its medical applications. The main focus of the subject will be on clarification of the principles of the contemporary medical devices (image and biosignal processing, data transmissions, structuring of information), and on acquiring basic skills in working with electronic medical documentation (optimal structuring of documentation, applications of structured documentation in production of documents derived from medical documentation, such as medical reports or various forms).
Requirements to the exam
Last update: Kateřina Kubečková (24.01.2023)

Credit:

  To pass an e-learning course.

Syllabus
Last update: Kateřina Kubečková (24.01.2023)

Practical courses & seminars

Lecturers

  • Assoc. Prof. Josef Hanus, M.Sc., Ph.D.
  • Vladimir Masin, M.D., Ph.D.
  • Jiri Zahora, MS, Ph.D.

Practical courses

  1. Introduction – history and terminology of informatics
  2. Data and information, their properties and methods of their processing (e-learning)

  3. Data processing tools (e-learning)

  4. Mathematical modeling in medicine  (e-learning)

  5. Experts systems, artificial intelligence (e-learning)

  6. Biosignal processing and analysis in medicine (e-learning)

  7. Image processing and analysis in medicine (e-learning)

  8. Telemedicine (e-learning)

  9. Electronic health records (e-learning)

  10. Examples of structured medical documentation

 
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