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About Study Course

ECTS:3
Course supervisor:Inese Gobiņa
Study type:Full time
Course level:Master's
Target audience:Digital Health; Health Management
Language:English, Latvian
Study course description Full description, Full time
Branch of science:Basic medicine

Objective

The aim of the course is to develop a theoretical and analytical understanding of epidemiological principles and their application in healthcare and public health, while enhancing skills in analysing and interpreting epidemiological data, critically appraising scientific evidence, and applying evidence-informed approaches to healthcare management, digital health, and health policy planning.

Prerequisites

Basic knowledge of human physiology, health and disease processes, and fundamental statistical concepts is desirable.

Learning outcomes

Knowledge

1.Explain the concepts and interpretation of the main epidemiological measures.

Skills

1.Calculate the main epidemiological measures.

Competence

1.Critically evaluate and interpret epidemiological data and scientific evidence to inform decision-making in public health, healthcare, and health management.

Study course planning

Planning period:Year 2025, Autumn semester
Study programmeStudy semesterProgram levelStudy course categoryLecturersSchedule
Digital transformation in the health care sector 1Master'sRequiredInese Gobiņa
Planning period:Year 2026, Autumn semester
Study programmeStudy semesterProgram levelStudy course categoryLecturersSchedule
Digital transformation in the health care sector1Master'sRequiredInese Gobiņa
Health Management1Master'sRequiredInese Gobiņa
Health Management 1Master'sRequiredInese Gobiņa
Planning period:Year 2024, Autumn semester
Study programmeStudy semesterProgram levelStudy course categoryLecturersSchedule
Health Communication 1Master'sRequiredInese Gobiņa