Course detail

Introduction to Medical Informatics

FEKT-CUMIAcad. year: 2019/2020

Computers in medicine and biology. Data in medicine. Electronic healt record. Probability reasoning. Fuzzy logic. Expert systems. Biomedical statistics. Traditional genetics. Genomics, proteomics and taxonomy. Processing of biological sequences. Standards in medical informatics.

Language of instruction

English

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

Basic knowledge and skills in medical informatics with particular emphasis to processing of medical data.

Prerequisites

The subject knowledge on the secondary school level is required.

Co-requisites

Not applicable.

Planned learning activities and teaching methods

Teaching methods depend on the type of course unit as specified in the article 7 of BUT Rules for Studies and Examinations.

Assesment methods and criteria linked to learning outcomes

Requirements for successful completion of the subject are specified by guarantor’s regulation updated for every academic year.

Course curriculum

Computers in medicine and biology. Data in medicine. Electronic healt record. Probability reasoning. Fuzzy logic. Expert systems. Biomedical statistics. Traditional genetics. Genomics, proteomics and taxonomy. Processing of biological sequences. Standards in medical informatics.

Work placements

Not applicable.

Aims

The course should provide the student with the basic theoretical knowledge and practical experience from the area of medical informatics and bioinformatics. The knowledge covers area of processing of specific medical and biological data and computer-aided medical diagnostics.

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

Extent and forms are specified by guarantor’s regulation updated for every academic year.

Recommended optional programme components

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

Berka, P. Dobývání znalostí z databází. Praha, Academia 2003.
Kejnovský, E., Hobza, R. Evoluční genomika, Elportál, Brno:Masarykova univerzita, 2006. ISSN 1802-128X
Kelemen J. a kol.: Tvorba expertních systémů v prostředí CLIPS. Praha, Grada 1999.
Novák, V. Základy fuzzy modelování. BEN - Technická literatura, 2002. ISBN: 80-7300-009-1
Zvárová, J. Biomedicínská informatika I. Karolinum, Praha, 2002. ISBN: 80-246-0609-7
Zvárová, J. Biomedicínská statistika I. Karolinum, Praha, 2007. ISBN: 978-80-7184-786-1

Recommended reading

Not applicable.

Classification of course in study plans

  • Programme EECC Bc. Bachelor's

    branch BC-MET , 3 year of study, winter semester, elective interdisciplinary
    branch BC-EST , 3 year of study, winter semester, elective interdisciplinary

Type of course unit

 

Lecture

26 hod., optionally

Teacher / Lecturer

prof. Ing. Valentine Provazník, Ph.D.

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

Exercise in computer lab

26 hod., compulsory

Teacher / Lecturer

prof. Ing. Valentine Provazník, Ph.D.

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