Evidence-based assessment (EBA) in mental health is a critical aspect of improving patient
outcomes and addressing the gaps in mental health care. EBA involves the use of …

Clinical laboratories have evolved with technological advancements through integrating
various subsystems into Health Information Systems (HIS), particularly the Laboratory …

Technology has revolutionized almost every aspect of modern life, including the way we
approach and receive medical care. The purpose of this literature is to demonstrate the …

This chapter explores the transformative potential of integrating knowledge engineering and
artificial intelligence in healthcare, focusing on constructing a knowledge-based clinical …

Jordanian healthcare institutes have launched several programs since 2009 to establish
health information systems (HISs). Nowadays, the generic expectation is that the use of HIS …

The healthcare industry is confronted with the challenge to offer an increasing variety of
healthcare services while in the meantime controlling rapidly increasing healthcare costs …

This study investigates the accessibility of open-source electronic health record (EHR)
systems for individuals who are visually impaired or blind. Ensuring the accessibility of …

Traditional methods for datamining typically assume that the data is small, centralized,
memory resident and static. But this assumption is no longer acceptable, because datasets …

Health-tech startups are essential, as they provide cutting-edge solutions to numerous
healthcare concerns in the rapidly evolving healthcare industry. They use various …

Traditional approaches to data mining are generally designed for small, centralized, and
static datasets. However, when a dataset grows at an enormous rate, the algorithms become …