Course detail
Introduction to Medical Informatics
FEKT-BUMIAcad. year: 2018/2019
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.
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 decisio-making methods based on defined requirements.
- 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 decisio-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.
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.
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. Biomedicínská informatika I. Karolinum, Praha, 2002. ISBN: 80-246-0609-7 (CS)
Zvárová, J. Biomedicínská statistika I. Karolinum, Praha, 2007. ISBN: 978-80-7184-786-1 (CS)
Zvárová, J. Biomedicínská informatika I. Karolinum, Praha, 2002. ISBN: 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)
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)
Classification of course in study plans
Type of course unit
Lecture
26 hod., optionally
Teacher / Lecturer
Syllabus
Introduction to medical informatics, data and standards in medical informatics, specific specific interaction man-computer in healtcare
Data in medicine, types of data, approaches of their processing, ethics, medical databases, telecommunication, networks and medical data transfer
Patient data, patient record, coding and classification of patient data, data confidency and protection
Biosignals and images, medical diagnostic and imiganing systems as data sources, representation of signals and images
Analysis of signals and images, iterpretation, specific noise suppression, time-frequency anaysis and characterization
Medical information systems, structure and types of MIS, reliability, modeling of healthcare for MIS design
Hospital information systems, sources and types of medical data, HIS conception, data security and protection
Computer-aided medical diagnostics, methods, acquisition and representation of medical knowledge, clinical diagnostics systems
Modeling in diagnostics, modeling of data source
Methodology of information processing, biostatistics, expert systems and other artifficial intelligence systems
Modelling of biosystems, basic models in biologiy and epidemiology, tools of prediction in medicine
Simulation and planning in therapy, modelling, robots
Telemedicine as a medical-information discipline, integration and data transfer, remote diagnostics and therapy
Data in medicine, types of data, approaches of their processing, ethics, medical databases, telecommunication, networks and medical data transfer
Patient data, patient record, coding and classification of patient data, data confidency and protection
Biosignals and images, medical diagnostic and imiganing systems as data sources, representation of signals and images
Analysis of signals and images, iterpretation, specific noise suppression, time-frequency anaysis and characterization
Medical information systems, structure and types of MIS, reliability, modeling of healthcare for MIS design
Hospital information systems, sources and types of medical data, HIS conception, data security and protection
Computer-aided medical diagnostics, methods, acquisition and representation of medical knowledge, clinical diagnostics systems
Modeling in diagnostics, modeling of data source
Methodology of information processing, biostatistics, expert systems and other artifficial intelligence systems
Modelling of biosystems, basic models in biologiy and epidemiology, tools of prediction in medicine
Simulation and planning in therapy, modelling, robots
Telemedicine as a medical-information discipline, integration and data transfer, remote diagnostics and therapy
Exercise in computer lab
26 hod., compulsory
Teacher / Lecturer
Syllabus
Representation of biosignals and medical images
Suppression of specific noise in biological signals
Basic medical image processing methods
Biostatistical methods in medicine
Use of diagnostic expert systems
Basic models in biology and epidemiology
Introduction to medical information system CLINICOM
Terminal emulation and modules in MIS CLINICOM
Input of textual data to MIS CLINICOM
Data representation in MIS CLINICOM
Administration and access rights in MIS CLINICOM
Output from MIS CLINICOM
Project
Suppression of specific noise in biological signals
Basic medical image processing methods
Biostatistical methods in medicine
Use of diagnostic expert systems
Basic models in biology and epidemiology
Introduction to medical information system CLINICOM
Terminal emulation and modules in MIS CLINICOM
Input of textual data to MIS CLINICOM
Data representation in MIS CLINICOM
Administration and access rights in MIS CLINICOM
Output from MIS CLINICOM
Project