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
            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