Mounting evidence has highlighted the implementation of big data handling and
management in the healthcare industry to improve the clinical services. Various private and …

Recent advances in skin-interfaced wearable sweat sensors enable the noninvasive, real-
time monitoring of biochemical signals associated with health and wellness. These …

Background: Mobile health has provided new and exciting ways for patients to partake in
their healthcare. Wearable devices are designed to collect the user's health data, which can …

The emergence of powerful software has created conditions and approaches for large
datasets to be collected and analyzed which has led to informed decision-making towards …

An increased adoption of mobile health (mHealth) and ubiquitous health (uHealth) systems
empower users with handheld devices and embedded sensors for a broad range of …

Digital health information systems (DHIS) are increasingly members of ecosystems,
collecting, using and sharing a huge amount of personal health information (PHI), frequently …

For improving quality and safety of healthcare as well as efficiency and efficacy of care
processes, health systems turn toward personalized, preventive, predictive, participative …

The collection and analysis of patient cases can effectively help researchers to extract case
feature and to achieve the objectives of precision medicine, but it may cause privacy issues …

Healthcare is a service commonly associated with lacking performance in relation to output
and the economy of production. Contingency theory and complex systems thinking are …

Precision medicine is emerging as an integral component in delivering care in the health
system leading to better diagnosis and optimizing the treatment of patients. This growth is …