About the project
| Project name | Increasing of digital knowledge in health care to enhance personalized medicine in the future |
|---|---|
| Acronym | DIGIMED |
| Project code | |
| The program | Erasmus+ Small-scale Partnerships |
| Coordinator | MEDIREX GROUP ACADEMY n.p.o. |
| Beneficiary | MEDIREX GROUP ACADEMY n.o. |
|---|---|
| Partners | Istenhegyi Gendiagnosztika Labor Kft. |
| Project implementation period | 9/2023 – 11/2024 |
| The location of project implementation | Slovakia, Hungary, Bulgaria |
The DIGIMED project
- a) between all organizations in this project, a mobility element will be implemented scientists will be sent to partners countries to share knowledge, innovative methods and learned others experiences. Since digitalization is a big part of science, all the lead scientists will learn all the trend in bioinformatics.
- b) between all organizations in this project, a mobility element will be implemented and leading IT specialists will be sent to each county to improve their knowledge, share know how in basis laboratory diagnostic systems, novel laboratory systems which differentiates in all countries. All the information gained will be used to prepare all partners in the project for future digital transformation and new trends in health care. In more detail, main objective for IT sector will be share and learn or implement each partners specific ways of data analyses, data modeling’s and approaches to artificial intelligence since all the entities possesses big data and would like to contribute to European health care system.
- c) besides scientists and IT, also other departments will be involved. Marketing and sales play important role in transitions as well. They will focus on improvement in entrepreneurship and to bring bigger population all the important information about digital trends by organizing workshops and other events to adjust to personalized medicine.
Addressed areas of healthcare digitalization:
1. Artificial Intelligence (AI) and Machine Learning
AI aids in early disease detection and prediction through the analysis of imaging data, genetic information, and other health records. Machine learning also enables the development of personalized treatment plans based on individual characteristics, increasing the effectiveness of treatments.
2. Digital Health and Telemedicine
The COVID-19 pandemic accelerated the adoption of telemedicine, allowing patients to consult with their doctors remotely, which is especially useful for people in remote or underserved areas. Health monitoring apps enable patients to track their vital signs, calorie intake, physical activity, and more, promoting a healthier lifestyle.
3. Genomics and Genetic Testing
Innovations in DNA sequencing enable faster and more affordable analysis of genetic material, which is significant for diagnosing genetic diseases.
4. Laboratory Diagnostics and Automation
High levels of automation in laboratories, including the use of robotic systems and AI to analyze samples, allow for faster and more accurate test results. This also reduces the risk of human errors and allows laboratories to process larger volumes of samples at lower costs. Modern laboratory information systems automate many administrative and analytical tasks in laboratories, from sample processing to interpretation of results and reporting of findings. These systems simplify workflows, improve accuracy, and help laboratories handle increasing data volumes.