Background The lack of interoperability between health information systems reduces the
quality of care provided to patients and wastes resources. Accordingly, there is an urgent …

Artificial Intelligence (AI) has transformed how we live and how we think, and it will change
how we practice medicine. With multimodal big data, we can develop large medical models …

The rapid global spread of infectious diseases, epitomized by the recent COVID-19
pandemic, has highlighted the critical need for effective cross-border pandemic …

Background The increasing use of electronic health records and the Internet of Things has
led to interoperability issues at different levels (structural and semantic). Standards are …

Personal health records (PHR) represent health data managed by a specific individual.
Traditional solutions rely on centralized architectures to store and distribute PHR, which are …

The privacy and security of patients' health records have been an ongoing issue, and
researchers are in a race against technology to design a system that can help stop the …

Background Thorough data stewardship is a key enabler of comprehensive health research.
Processes such as data collection, storage, access, sharing, and analytics require …

Objectives: To review recent literature on health information exchange (HIE), focusing on the
policy approach of five case study nations: the United States of America, the United …

Background Increasing digitalization in the medical domain gives rise to large amounts of
health care data, which has the potential to expand clinical knowledge and transform patient …

Advancements in mobile technology have propelled the rapid progress of remote health
monitoring, particularly in the domain of mobile health (mHealth). This progress is …