Introduction to Digital Health and Health Data (VVDG_041)
About Study Course
Objective
The aim of the study course is to provide knowledge, skills and competences in the generation, accumulation and application of digital health data for solving complex health sector problems and implementing digital transformation.
Prerequisites
Basic skills in working with data (searching for information, understanding structured data, data processing with MS Excel).
Learning outcomes
- Know the generation, standardization, accumulation of digital health data and know their application in various processes in the health field.
- To know the information systems that collect and analyze health data that are more often used in the field of health and the goals and tasks, functions and limitations of their use.
- Recognize, name and provide an overview of the most commonly used standards in the field of digital health.
- Describing various telemedicine services, know their role and the opportunities provided in improving the accessibility of health processes.
- Name and explain challenges related to data security and privacy of digital health tools, find and interpret regulatory requirements.
- Justify the application possibilities of various digital health tools for digital transformation in healthcare.
- Know the functionality of different digital health information systems (EMR, EHR, PHR and disease registries) and explain the essential differences, argue the suitability of each system for specific tasks; justify the essential differences and functionality of different digital health information systems: EMR, EHR, PHR and disease registries.
- Distinguish between different types of telemedicine services, evaluate and analyze the possibilities of their use in improving certain processes in the health field, promoting the availability of services, debate about the possibilities of using different services, their strengths and weaknesses.
- Classify various data coding and processing standards used in the field of digital health, introduce the use of certain standards for a selected digital health tool or information system.
- Evaluate data security and privacy challenges related to the chosen digital solution, identify and justify the chosen risk mitigation measures.
- Manage digital health data and health data accumulating and analyzing information systems for digital transformation in health care, including high level data processing.
- Manage data coding and processing standards used in the field of digital health, justify the use of certain standards for a selected digital health tool, information system or analytics approach.
- Introduce tele-medicine solutions for the implementation of health industry interoperability, data generation and integration processes.
- Implement personal data and privacy protection solutions, identify and eliminate risks related to health data protection.
Study course planning
| Study programme | Study semester | Program level | Study course category | Lecturers | Schedule |
|---|---|---|---|---|---|
| Biostatistics, MFBS | 2 | Master’s | Limited choice | ||
| Pharmacy, FF | 6 | Master’s | Limited choice | ||
| Nursing Studies, MZFM | 2 | Master’s | Limited choice | ||
| Rehabilitation, REHM | 4 | Master’s | Limited choice | ||
| Social work, SDNMp | 2 | Master’s | Required | ||
| Social work, SDNM | 2 | Master’s | Required |
