Infopaket

INFORMATION TECHNOLOGY IN MEDICINE

Вибіркова дисципліна для ОП

First

2025/2026

7 Semester

3

PR15. Apply modern computer and information technologies.

Distance form

1. Successful mastery of the block of educational components of laboratory diagnostics training and basic school level mathematics, physics and biology. 2. Ability to independently apply knowledge from the course of physics, mathematics, human physiology, and other academic disciplines to solve specific scientific and practical problems; work with scientific and metric databases and scientific and methodological literature. 3. Basic computer skills. Confident use of operating systems (Windows, Linux or macOS). Skills in working with office programs (Word, Excel, PowerPoint) for data processing and report creation. Basic understanding of the operation of networks and Internet resources. 4. Basic English-language competence at the level of reading scientific texts. Ability to read and understand English-language articles and documentation for working with modern IT tools in medicine.

The academic discipline "Information Technologies in Medicine" is an elective component of the educational and professional program "Laboratory Diagnostics" (Bachelor's level). The course covers modern computer and information technologies used in medical practice, in particular in laboratory diagnostics. Students acquire knowledge about the structure and principles of operation of computer systems for medical purposes, master methods of processing and analyzing medical information, and the use of telemedicine to solve clinical and organizational problems. Special attention is paid to the basics of mathematical modeling in medicine. The knowledge obtained contributes to the formation of competencies necessary for the effective use of IT in laboratory and clinical practice.

The use of telemedicine in clinical practice / Dobryansky D.O., Mintser O.P., Krasnov V.V. — teaching-methodical manual, 2019 The use of telemedicine in clinical practice: teaching-methodical manual. / D.O. Dobryansky, O. P. Mintser, V. V. Krasnov. Kyiv: Ukrainian-Swiss Program “Maternal and Child Health”, 2011. – 86 p. Visual analytics – effective technology for processing Big Data in medicine / V.V. Petrov, O.P. Mintser, A.A. Kryuchin // Medical Informatics and Engineering. – 2020. – No. 2 (50). – P. 50–61. Expert systems in medicine: teaching-methodical manual. / Prodeus A.M., Sinyekop Y.S., Shvets E.Ya., Kiselyov E.M., Baran M.M. Zaporizhzhia: Publishing House of the Institute of Agricultural Sciences, 2014. – 332 p.

Lecture, Practical work, independent work Modular tests; evaluation of oral answers/additions; abstracts on the current state of issues considered within the course, defense of practical works;

semester assessment: 1. Modular test paper 1 – РН 1.1-1.2, 2.1. (block of topics of Section 1) – 15 points / 7.5 points 2. Modular test paper 2 – РН 1.3 -.1.4, 2.2-2.4 (block of topics of Section 2) 15 points / 7.5 points 3. Abstract papers on topics (2 pcs.) – РН 1.1. – 3.2 – 10 points / 5 points (2 pcs. each 5 points) 4. Oral answers and solving problems in classes – РН 1.1. – 3.2. – 60 points / 35 points - final assessment: in the form of a test

ukrainian