Course detail

Introduction to Medical Informatics

FEKT-BUMIAcad. year: 2010/2011

Computers in medicine and biology. Data in medicine. Computer patient record. IZIP - internet access to health information of patients. Computer aided medical diagnostics. Fuzzy logic and expert systems. Biomedical statistics. Standards in medical informatics. Introduction to bioinformatics. Processing of genetic information. Introduction to proteomics. Processing and identification of proteins. Bioinformatics in proteomics.

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

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

Two projects, final written test.

Course curriculum

Not applicable.

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. The knowledge covers area of processing of specific medical data, fundamentals of medical information system design and computer-aided medical diagnostics.

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

The content and forms of instruction in the evaluated course are specified by a regulation issued by the lecturer responsible for the course and updated for every academic year.

Recommended optional programme components

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

Not applicable.

Recommended reading

Not applicable.

Classification of course in study plans

  • Programme EEKR-B Bachelor's

    branch B-EST , 3. year of study, winter semester, optional interdisciplinary
    branch B-MET , 3. year of study, winter semester, optional interdisciplinary

  • Programme EEKR-CZV lifelong learning

    branch ET-CZV , 1. year of study, winter semester, optional interdisciplinary

Type of course unit

 

Lecture

26 hours, 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 hours, optionally

Teacher / Lecturer

Ing. Petr Fedra
Ing. Denisa Maděránková, Ph.D.
Ing. Helena Vítková, 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