Introduction to Medical Informatics

• 26 hrs lectures
• 26 hrs pc labs

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

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.

There are no prerequisites

• Provazník, I: Elektronické texty přednášek na Internetu.

• Bronzino, J.D.: The Biomedical Engineering Handbook. CRC Press, Boca Raton 1995.
• van Bemmel, J.H. (ed.): Yearbook of Medical Informatics. Schattauer, 1996, 1997, 1998, 1999, 2000.

1. Introduction to medical informatics, data and standards in medical informatics, specific specific interaction man-computer in healtcare.
2. Data in medicine, types of data, approaches of their processing, ethics, medical databases, telecommunication, networks and medical data transfer.
3. Patient data, patient record, coding and classification of patient data, data confidency and protection.
4. Biosignals and images, medical diagnostic and imiganing systems as data sources, representation of signals and images.
5. Analysis of signals and images, iterpretation, specific noise suppression, time-frequency anaysis and characterization.
6. Medical information systems, structure and types of MIS, reliability, modeling of healthcare for MIS design.
7. Hospital information systems, sources and types of medical data, HIS conception, data security and protection.
8. Computer-aided medical diagnostics, methods, acquisition and representation of medical knowledge, clinical diagnostics systems.
9. Modeling in diagnostics, modeling of data source.
10. Methodology of information processing, biostatistics, expert systems and other artifficial intelligence systems.
11. Modelling of biosystems, basic models in biologiy and epidemiology, tools of prediction in medicine.
12. Simulation and planning in therapy, modelling, robots.
13. Telemedicine as a medical-information discipline, integration and data transfer, remote diagnostics and therapy.

1. Representation of biosignals and medical images.
2. Suppression of specific noise in biological signals.
3. Basic medical image processing methods.
4. Biostatistical methods in medicine.
5. Use of diagnostic expert systems.
6. Basic models in biology and epidemiology.
7. Introduction to medical information system CLINICOM.
8. Terminal emulation and modules in MIS CLINICOM.
9. Input of textual data to MIS CLINICOM.
10. Data representation in MIS CLINICOM.
11. Administration and access rights in MIS CLINICOM.
12. Output from MIS CLINICOM.
13. Project.

Výuka není kontrolována.

Nno compensation.