Introduction to Medical Informatics - FV059

• Title: Introduction to Medical Informatics
• Guaranteed by: Department of Medical Biophysics (15-170)
• Faculty: Faculty of Medicine in Hradec Králové
• Actual: from 2025
• 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: 90
• Min. number of students: 5
• 4EU+: no
• Virtual mobility / capacity: no
• State of the course: taught
• Language: English
• Teaching methods: full-time
• Note: course can be enrolled in outside the study plan; enabled for web enrollment
• Guarantor: MUDr. Vladimír Mašín, Ph.D.
• Comes under: General medicine - ELECTIVE subjects
• Pre-requisite : {Malá skupina pro #FV059}
• Incompatibility : FG50044
• Interchangeability : FG50044
• Is incompatible with: FG50044
• Is interchangeable with: FG50044

Annotation

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).

Last update: Kubečková Kateřina (05.01.2026)

Literature

1. Coiera E.: Guide to Health Informatics, 3rd Edition, CRC Press, London 2015

Last update: Kubečková Kateřina (05.01.2026)

Requirements to the exam

Credit:

To pass an e-learning course.

Last update: Kubečková Kateřina (05.01.2026)

Syllabus

Lecturers:

• Vladimir Masin, M.D., Ph.D.

 

• Practical courses:

1. Introduction – history and terminology of informatics
2. Data and information, their properties and methods of their processing (Moodle)
3. Data processing tools (Moodle)
4. Mathematical modeling in medicine  (Moodle)
5. Expert systems, artificial intelligence (Moodle)
6. Biosignal processing and analysis in medicine (Moodle)
7. Image processing and analysis in medicine (Moodle)
8. Telemedicine (Moodle)
9. Structured medical documentation, standards of electronic medical documentation (Moodle)
10. Seminar: Structured medical documentation, credit

Last update: Kubečková Kateřina (05.01.2026)