Information technologies in medicine and basics of statistical analysis

Course: Laboratory Diagnostics (Master)

Structural unit: Biology And Medicine Institute Science Educational Center

Title
Information technologies in medicine and basics of statistical analysis
Code
Module type
Обов’язкова дисципліна для ОП
Educational cycle
Second
Year of study when the component is delivered
2022/2023
Semester/trimester when the component is delivered
1 Semester
Number of ECTS credits allocated
3
Learning outcomes
Apply professional knowledge; formulate ideas, concepts for use in academic or professional work. Analyze the results of studies of morphological and functional state of the organism and the environment, assess the importance of indicators. Demonstrate the deepening of basic knowledge through self-education, demonstrate the ability to present and evaluate their own experience and analyze and apply the experience of colleagues, demonstrate the ability to share experiences with other professionals. Provide counseling related to professional activities. Comply with the requirements of job descriptions, self-improvement. Identify, summarize and solve problems that arise in the process of professional activity and form a sense of responsibility for the work performed. Perform and use laboratory research techniques to diagnose diseases, determine the characteristics of severity, period and duration of the disease, prognosis, control of treatment and its results.
Form of study
Full-time form
Prerequisites and co-requisites
1. Successful mastering of courses "Higher Mathematics", "Physics", etc. 2. Be able to independently organize, plan and perform experimental research.
Course content
The discipline "Information Technology in Medicine and Fundamentals of Statistical Analysis" covers the study of systems approaches to understanding the work of computer systems and ways to use them in medicine. During the study of the discipline much attention is paid to the practical application of this approach to certain issues in the field of "Technology of medical diagnostics and treatment."
Recommended or required reading and other learning resources/tools
1. Radzishevska E. B., Vysotska O. V. Information technologies in medicine. E-health / edited by V. G. Kizhavka. - Kharkiv: KhNMU, 2019. - 72 p.
Planned learning activities and teaching methods
Lecture, independent work, practical lesson
Assessment methods and criteria
Semester assessment: modular tests, assessment of practical tasks, assessment of oral answers. Final assessment: in the form of a credit.
Language of instruction
Ukrainian

Lecturers

This discipline is taught by the following teachers

Olexandr Volodymyrovych Ogloblya
Department of Biophysics and Medical Informatics
Biology And Medicine Institute Science Educational Center

Departments

The following departments are involved in teaching the above discipline

Department of Biophysics and Medical Informatics
Biology And Medicine Institute Science Educational Center