Medical Informatics
Course: Laboratory Diagnostics (Bachelor)
Structural unit: Biology And Medicine Institute Science Educational Center
Title
Medical Informatics
Code
Module type
Вибіркова дисципліна для ОП
Educational cycle
First
Year of study when the component is delivered
2025/2026
Semester/trimester when the component is delivered
7 Semester
Number of ECTS credits allocated
3
Learning outcomes
PRN 3. Apply modern computer and information technologies.
Form of study
Prerequisites and co-requisites
1. Successful mastery of the block of educational components of training laboratory diagnosticians and the basic school level of mathematics, computer science, physics and biology.
2. The ability to think algorithmically and 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 scientific and methodological literature.
3. Basic computer skills at the user level.
4. Basic knowledge of English at the level of reading scientific texts.
Course content
The key focus of the course is on the study of specialized Laboratory Information Systems (LIS), which provide automation of all stages of laboratory research: from
registration and barcoding of biomaterial at the pre-analytical stage to validation of results
and their archiving at the post-analytical stage. A separate important block is the mastering of
biostatistics methods and the use of spreadsheets for processing research results,
calculating reference intervals. According to the results of the training, students acquire the ability to effectively use digital tools for managing medical
information, search in scientometric databases and work in a
high-tech laboratory environment of world class.
Recommended or required reading and other learning resources/tools
The use of telemedicine in clinical practice / Dobryansky D.O., Mintser O.P.,
Krasnov V.V. — teaching and methodical manual, 2019
Visual analytics - an 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.
Information technologies in medicine and pharmacy: textbook / O.P. Mintser et al. – K.: VSV
"Medicine", 2019.
Medical Informatics: textbook / I.E. Bulakh, L.P. Voitenko, O.R. Alyushina et al.; ed.
I.E. Bulakh. – K.: Medicine, 2021. – 368 p.
Medical informatics: a textbook for students of medical universities / edited by V. G. Knigavka. Kharkiv:
KhNMU, 2015. – 288 p.
Planned learning activities and teaching methods
Lectures, Laboratory classes, independent work
Assessment methods and criteria
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
Language of instruction
ukrainian
Lecturers
This discipline is taught by the following teachers
Yuliya
Vadymivna
Tseyslyer
Department of biomedicine
Biology And Medicine Institute Science Educational Center
Biology And Medicine Institute Science Educational Center
Victoriia
Vasylivna
Konopelniuk
Department of biomedicine
Biology And Medicine Institute Science Educational Center
Biology And Medicine Institute Science Educational Center
Departments
The following departments are involved in teaching the above discipline
Department of biomedicine
Biology And Medicine Institute Science Educational Center
Department of biomedicine
Biology And Medicine Institute Science Educational Center