Course detail
Introduction to Medical Informatics
FEKT-BPC-UMIAcad. year: 2024/2025
The course is oriented to the use of information technology in medicine and biology. It is focused on medical data: acquisition, storage and exploitation, systems based on patients‘ computer records, health information systems, decision-making in medicine, standards imn medical informatics, introduction to bioinformatics, fundamentals of genetic information processing.
Language of instruction
Number of ECTS credits
Mode of study
Guarantor
Entry knowledge
Rules for evaluation and completion of the course
up to 60 points from finel written exam
The exam is oriented to verification of orientation in terms of medical informatics and ability to apply basic principles of decision-making in medicine.
Computer exercises are obligatory. Excused absence can be substituted.
Aims
The student will be able to:
- describe basic methods of processing of biomedical data,
- explain fundamental terms of medical informatics,
- describe principle of basic methods for probability decision-making,
- discus advantages and disadvantages of the methods,
- evaluate quality of decision-making methods based on defined requirements.
Study aids
Prerequisites and corequisites
Basic literature
Zvárová, J. a kol.: Biomedicínská informatika I. Karolinum, 1. vyd., 2002. ISBN-10: 80-246-0609-7 (CS)
Zvárová, J. Biomedicínská statistika I. Karolinum, Praha, 2007. ISBN: 978-80-7184-786-1 (CS)
Recommended reading
J.H. van Bemmel and M.A. Musen: Handbook of Medical Informatics, Springer-Verlag, 1997. ISBN: 3540633510 (EN)
P. Degoulet, B. Phister, M. Fieschi: Introduction to Medical Informatics. Springer-Verlag New York, 1999. ISBN: 0387946411 (EN)
Elearning
Classification of course in study plans
- Programme BPC-BTB Bachelor's 2 year of study, winter semester, compulsory
Type of course unit
Lecture
Teacher / Lecturer
Syllabus
Introduction, Data and databases in medicine
Bioinformatics data and databases
Data and databases for biomedical signals
Biomedical image data and databases
User interfaces in medicine
Electronic medical records
Medical Information
Systems Computing and data servers
Introduction to database systems
SQL: database design and development
Decision making in biomedicine: the basics of biostatistics
Decision making in biomedicine: Bayes theorem, decision trees
PACS: Picture Archiving and Communicating System - External lecture
Exercise in computer lab
Teacher / Lecturer
Syllabus
Introduction, Python in medical informatics
Bioinformatics databases
Databases of biomedical signals
Biomedical Image Database
GUI design and development in Python
Computing and data servers
SQL I: SQLite, DB Browser, import/export
SQL II: tables, attributes, operators, basic queries
SQL III: relations, advanced queries, JOIN
SQL IV: TRIGGERS and VIEWS
Elearning