Progress Achieved, Landmarks, and Future Concerns in Biomedical and Health Informatics.

Background: The biomedical and health informatics (BMHI) fields have been advancing rapidly, a trend particularly emphasised during the recent COVID-19 pandemic, introducing innovations in BMHI. Over nearly 50 years since its establishment as a scientific discipline, BMHI has encountered several challenges, such as mishaps, delays, failures, and moments of enthusiastic expectations and notable successes. This paper focuses on reviewing the progress made in the BMHI discipline, evaluating key milestones, and discussing future challenges.

Continuing Educational Program in Nursing Informatics for Greek Nurses.

Nurses are required to adapt to a complex and rapidly evolving environment that incorporates new IT technologies. Continuing, lifelong learning, especially in the fast-growing fields of Nursing Informatics, eHealth and related Information and Communication Technologies, is vital to the professionalism of nurses. The study presents the curriculum development and implementation of the educational project entitled "Training of Nurses in Nursing Informatics and Information and Communication Technologies (ICT)" which has been designed and offered to Greek nurses as a continuing - lifelong online educational program by the Health Informatics Laboratory of the National and Kapodistrian University of Athens.

Montenegrin Digital Academic Innovation Hub: Experience in Supporting Digital Health Innovations.

Montenegrin Digital Academic Innovation Hub established within Erasmus+ project DigNEST is essential institutional support for developing innovations in the field of health in academic-business cooperation and partnership. Experience of 18 months in running Hub service provides preliminary results in analysis received innovation ideas, provided support and potentials/capacities in medical informatics advancements at national, regional and global level.

INSAFEDARE Project: Innovative Applications of Assessment and Assurance of Data and Synthetic Data for Regulatory Decision Support.

Digital health solutions hold promise for enhancing healthcare delivery and patient outcomes, primarily driven by advancements such as machine learning, artificial intelligence, and data science, which enable the development of integrated care systems. Techniques for generating synthetic data from real datasets are highly advanced and continually evolving. This paper aims to present the INSAFEDARE project's ambition regarding medical devices' regulation and how real and synthetic data can be used to check if devices are safe and effective.