Skip to main content

About Study Course

ECTS:5
Course supervisor:Didzis Lauva
Study type:Full time
Course level:Master's
Target audience:Health Management; Information and Communication Science; Medical Services; Medical Technologies; Public Health
Language:Latvian
Study course description Full description, Full time
Branch of science:Other social sciences

Objective

The objective of this course is to provide prospective health care professionals with essential programming skills to improve their ability to analyse patient data, automate administrative tasks and data handling, as well as collaborate with IT professionals. This course promotes algorithmic and computational thinking, allowing health care professionals to make informed decisions when dealing with different types of data. The course aims to strengthen technical expertise among health care professionals by ensuring they are well prepared to integrate advanced digital health solutions into their practices.

Prerequisites

Prior knowledge of mathematics at secondary school level.

Learning outcomes

Knowledge

1.After completing this course, students will gain knowledge of the fundamentals of programming, understanding of programming languages and their application. They will learn the basics of data analysis by acquiring knowledge of methods of data acquisition, cleaning and analysis. Students will gain an understanding of the development of algorithms and their application in the context of healthcare. They will also gain knowledge of modern technologies and tools used in digital health solutions.

Skills

1.Students will learn programming skills, will be able to read, understand and write a code using programming languages like Python or R. Will learn to work with large amounts of data using a variety of data processing tools, and be able to create scripts and programs to automate routine tasks. Students will learn data visualisation skills using a variety of graphic tools and techniques.

Competence

1.The study process will develop problem solving competences that allow students to identify and solve problems using algorithmic and computational thinking. Will be able to cooperate effectively with IT professionals to implement and maintain digital health solutions. Students will gain an understanding of data security and privacy issues in healthcare, as well as be able to integrate digital solutions at a strategic level to improve the quality and efficiency of healthcare.

Study course planning

Planning period:Year 2025, Autumn semester
Study programmeStudy semesterProgram levelStudy course categoryLecturersSchedule
Digital transformation in the health care sector1Master'sRequiredDidzis Lauva
Digital transformation in the health care sector 1Master'sRequiredDidzis Lauva