In this landscape, ARIS2 serves as an indispensable guide, steering discussions toward leading-edge research and fostering a deeper comprehension of the unique challenges and opportunities in healthcare and health technologies.

Information Technology has become a key component of many sectors in todays world, and healthcare is a prime example. However, the increase in IT, particularly among healthcare businesses which are now identified as a major target area, has increased sensitivity to cyber threats. There is a variety of vital data stored in such facilities, including private and possibly financial information about patients. An analysis of the risks and threats to these institutions is presented in this paper. The study is based on the results of a survey involving several healthcare professionals from various healthcare establishments in Portugal.

the use of mental health apps has increased significantly as an accessible and convenient approach as an adjunct to promoting well-being and mental health. There are several apps available that can assist with mental health monitoring and management, each with specific features to meet different needs. The intersection of mental health and cyber technology presents a number of critical legal and ethical issues. As mental health monitoring apps and devices become more integrated into clinical practice, cybersecurity takes on paramount importance. Objective: To address the ethical and legal aspects of health cybersecurity related to applications in mental health monitoring and management. Methods: We carried out a thematic synthesis of the best scientific evidence

Technology changed the world over the past decades, reinventing the way we work, communicate, and live. In the healthcare sector, it has contributed to driving innovations in the diagnosis process, treatment, data management, and information access. However, this transformation has been accompanied by an increasing dependence on digital systems and connectivity. Nowadays, concepts such as artificial intelligence and cybersecurity are widely recognized, but organizations just become aware of the benefits and risks involved. In fact, the nature of their relationship is still under discussion.

The Multilevel Database Decomposition Framework is a cybersecurity strategy to enhance system robustness and minimize the impact of data breaches with a focus on healthcare systems. With respect to more conventional normalization methods, the framework prioritizes robustness against cyber threats over mere data redundancy reduction. The key strategy of the framework is the decomposition of a database into smaller databases to restrict user access and mitigate the impact of successful intrusions by satisfying the least privilege principle in a more complete way. For this purpose, each database the decomposition produces is uniquely associated with a set of users and the decomposition ensures that each user can access all and only the data his/her operations need. This limits the potential impact of threat agents impersonating users to the information a compromised user can access.