Assessing the Legal Aspects of Information Security Requirements for Health Care in 3 Countries: Scoping Review and Framework Development.

Background: The loss of human lives from cyberattacks in health care is no longer a probabilistic quantification but a reality that has begun. In addition, the threat scope is also expanding to involve a threat of national security, among others, resulting in surging data breaches within the health care sector. For that matter, there have been provisions of various legislation, regulations, and information security governance tools such as policies, standards, and directives toward enhancing health care information security-conscious care behavior among users.

Artificial Intelligence-Based Framework for Analyzing Health Care Staff Security Practice: Mapping Review and Simulation Study.

Background: Blocklisting malicious activities in health care is challenging in relation to access control in health care security practices due to the fear of preventing legitimate access for therapeutic reasons. Inadvertent prevention of legitimate access can contravene the availability trait of the confidentiality, integrity, and availability triad, and may result in worsening health conditions, leading to serious consequences, including deaths. Therefore, health care staff are often provided with a wide range of access such as a "breaking-the-glass" or "self-authorization" mechanism for emergency access.

Mapping the Psychosocialcultural Aspects of Healthcare Professionals' Information Security Practices: Systematic Mapping Study.

Background: Data breaches in health care are on the rise, emphasizing the need for a holistic approach to mitigation efforts.

Objective: The purpose of this study was to develop a comprehensive framework for modeling and analyzing health care professionals' information security practices related to their individual characteristics, such as their psychological, social, and cultural traits.

Methods: The study area was a hospital setting under an ongoing project called the Healthcare Security Practice Analysis, Modeling, and Incentivization (HSPAMI) project.

Cluster Detection Mechanisms for Syndromic Surveillance Systems: Systematic Review and Framework Development.

Background: The time lag in detecting disease outbreaks remains a threat to global health security. The advancement of technology has made health-related data and other indicator activities easily accessible for syndromic surveillance of various datasets. At the heart of disease surveillance lies the clustering algorithm, which groups data with similar characteristics (spatial, temporal, or both) to uncover significant disease outbreak.

Healthcare Staffs' Information Security Practices Towards Mitigating Data Breaches: A Literature Survey.

The purpose of this study was to understand healthcare staffs' information security (IS) practices towards mitigating data breaches. A literature survey was conducted to understand the state-of-the-art methods, tools, evaluation techniques and the challenges to their implementation. The results would be used for emperical studies in a hospital setting in Norway on Healthcare Security Practice Analysis, Modeling and Incentivization (HSPAMI).