Course detail

Introduction to Medical Informatics

FEKT-AUMIAcad. year: 2019/2020

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

Czech

Number of ECTS credits

5

Mode of study

Not applicable.

Guarantor

prof. Ing. Valentine Provazník, Ph.D.

Department

Department of Biomedical Engineering (UBMI)

Learning outcomes of the course unit

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.

Prerequisites

The student should be able to explain fundamental principles of information technologies, should know basic terms and the use of database systems and should be oriented in basic knowledge of probability. Generally, knowledge on the level of secondary education is required.

Co-requisites

Not applicable.

Planned learning activities and teaching methods

Techning methods include lectures and computer laboratories. Course is taking advantage of e-learning (Moodle) system. Students have to write projects/assignments during the course.

Assesment methods and criteria linked to learning outcomes

up to 40 points from computer exercises (2 tests and 1 activity)
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.

Course curriculum

1. Computers in medicine and biology.
2. Data and information in medicine.
3. Electronic health record.
4. Probability in decision-making I.
5. Probability in decision-making II.
6. Probability in interpretation of test results.
7. Fuzzy sets.
8. Fuzzy logic and decision-making in medicine.
9. Data standards in medical informatics.
10. Introduction to bioinformatics.
11. Processing of genetic information.

Work placements

Not applicable.

Aims

The aim of the course is to provide the students with the fundamental theoretical knowledge and practical experience in medical informatics. The subject covers the area of processing specific medical data, fundamentals of medical information systems design and computer-aided medical diagnostics.

Specification of controlled education, way of implementation and compensation for absences

Computer exercises are obligatory. Excused absence can be substituted.

Recommended optional programme components

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

Kalet, I. J. Principles of Biomedical Informatics. Academic Press, 2008. ISBN-10: 0123694388 (EN)
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

Berka, P. Dobývání znalostí z databází. Praha, Academia 2003. (CS)
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

eLearning: currently opened course

Classification of course in study plans

  • Programme BIT Bachelor's 2 year of study, winter semester, elective

  • Programme BTBIO-A Bachelor's

    branch A-BTB , 2 year of study, winter semester, compulsory

  • Programme IT-BC-3 Bachelor's

    branch BIT , 2 year of study, winter semester, elective

  • Programme EEKR-CZV lifelong learning

    branch EE-FLE , 1 year of study, winter semester, compulsory

Type of course unit

 

Lecture

26 hod., optionally

Teacher / Lecturer

Ing. Helena Vítková, Ph.D.

Syllabus

Computers in medicine and biology. Medical data: acquisition, storage and exploitation. Systems based on patients‘ computer recods. Data acquisition systems. Hospital information systems. Biostatics. Decision-making in medicine: probability inference. Clinical systems for inference support. Standards in medical informatics. Ethics and healthcare informatics: users, standards. Bioinformatics. Genetic information processing.

Exercise in computer lab

26 hod., compulsory

Teacher / Lecturer

Ing. Jan Matula
Ing. Radovan Smíšek, Ph.D.
Ing. Vojtěch Bartoň

Syllabus

Biostatic methods in medicine
Application of expert diagnostic systems
Introduction to operation of the MIS CLINICOM medical diagnostic system
Terminal emulation and MIS CLINICOM modules
Textual data input in MIS CLINICOM
Data representation in MIS CLINICOM
Administration and access rights for MIS CLINICOM
MIS CLINICOM output files

Elearning

eLearning: currently opened course