Studies in English

Medical Statistics and Informatics

Medical Statistics and Informatics

Programme: Medical studies in English
Subject: Medical Statistics and Informatics
Course director: Milić Nataša
Course status: Mandatory
ESPB: 4
Prerequisite: Passed all the exams from the second year of study

Course goals

The main goal of the Medical Statistics and Informatics course is to enable students, future doctors of medicine, the acquisition of basic skills and knowledge of statistics and computer science in medicine: (a) necessary for the understanding of the mechanisms present in healthy and diseased humans (group); (b) in the medical / health care decision making, which is indispensable in the diagnosis, treatment and prevention; and (c) required for a systematic approach to the organization, processing and communication of data, information and knowledge in the health care system.

Course results

Mastering the knowledge and skills of creating and gathering medical data, analysis and drawing conclusions, generating, transmission, storage and use of information in order to solve health problems. Knowledge gained in the course empowers a future medical doctors to be an active participants in the computerization of the health system, to evaluate their own work based on data and information obtained from the practice, and to learn (especially continuing medical education). The knowledge and skills are used in all medical disciplines during and after graduation.

Course content

  • Medical Statistics - Theoretical classes (10): Introduction to Statistics; Basic statistical concepts; Arranging data; Statistical description; Probability and probability distributions; Statistical inference; Sample and score values of the parameters of the basic set; Statistical analysis; Methods for testing differences; Correlation and practical classes (exercise, other forms of instruction, study research) (30): Arranging data; Statistical description; Probability and probability distributions; Sample and score values of the parameters of the basic set; Methods for testing differences; Correlation
  • Medical informatics - Theoretical classes (5): Medical data, information and knowledge; Medical decision making; Health information systems; Electronic health records and Bionformatics. Practical classes (practicals, seminars, research assignments) (15): Searching, retrieval, processing, and storage of medical data information and knowledge; Medical decision-making (diagnosis, treatment selection, prioritization); "HIS" (information processes identification, data structures, classifications and nomenclature standardization, privacy and security); Bionformatics tools.

Methods of teaching

Teaching under supervision consists of lectures, seminars, case studies and exercises (which include group discussions predefined content, demonstration of various tools and software, and use of online resources (articles, books, databases)), consultation and examination.

Lectures: 15
Practicals: 30
Seminars: 15

 

Lectures:

1

Introduction to The Medical Statistics and Informatics

2

Organizing data and data presentation

3

Descriptive Statistics

4

Probability

5

Population and Sample

6

Hypothesis Testing part 1

7

Hypothesis Testing part 2

8

Hypothesis Testing part 3

9

Correlation

10

Regression

11

Data, Information, and Knowledge

12

Decision Making part 1

13

Decision Making part 2

14

Health information system

15 Bioinformatics

 

 

Practicals:

1

Basic statistical terminology

2

Database development

3

Relative numbers, measures of central tendency and variability

4

Probability and Probability Distributions

5

Sample and Sampling Distributions; Estimation of the Population Parameters

6

Hypothesis Testing about Population Means and Proportions

7

Hypothesis Testing about Frequencies

8

Hypothesis Testing about Ranks

9

Pearson and Spearman coeffcient

10

Regression trends

11

Bibliographic Databases Search

12

Decision Making - Diagnosis

13

Decision Making - Treatment

14

e-health

15 Bioinformatic files