eMedLab

The research group was established in 2020 when five PhD students were accepted and funded through an IT Academy research project. This project supported research in artificial intelligence, machine learning, data science, and robotics. As of 2025, eMedLab will participate as a principal investigator in two funded research consortia: Digital health for a whole and healthy society and Medication Adherence and Treatment Efficacy in Patients with Dyslipidaemia and Achievement-oriented Novel Patient Digital Support. The competitive proposals received will allow the group to continue its current research and expand the research group with up to 13 new PhD students. 

The research will address the transformation of healthcare workflows, the creation of new digital service models, data structuring and standardisation, data quality, data governance, data security and privacy, data transparency and integrity, data interoperability, and data anonymisation and pseudonymisation. Particular attention will be paid to how these aspects shape the primary (health services and medicine) and secondary (research, public health, health financing, policy-making, and AI-based data analytics) uses of health data in the context of the European Health Data Space. 

eMedLab is an institutional member of the European Federation for Medical Informatics (EFMI) (see more).

• Bossenko, Igor. (2025). A domain-specific framework for supporting semantic interoperability in primary and secondary use of health data on the example of the Estonian National Health Information System, TalTech Press.
• Bertl, Markus. (2023). Systematic AI Support for Psychiatry: A Framework on How to Implement Decision Support Systems, TalTech Press.