In a world where the industry of mobile applications is continuously expanding and new
health care apps and devices are created every day, it is important to take special care of the …

E-health can be defined as a set of technologies applied with the help of the internet, in
which healthcare services are provided to improve quality of life and facilitate healthcare …

This study reflects on proliferating ethical initiatives, with an eye on social good in the
healthcare industry context while leveraging innovative digital technological infrastructures …

The paper reports on a proof-of-concept of Mandy, a primary care chatbot system created to
assist healthcare staffs by automating the patient intake process. The chatbot interacts with a …

Objective Provider acceptance and associated patient outcomes are widely discussed in the
evaluation of clinical decision support systems (CDSSs), but critical design criteria for tools …

Artificial intelligence has pervaded clinical decision support systems driven by algorithms. In
healthcare, algorithmic decision-making is said to outperform clinicians in their treatment …

Background: In a bid to deliver quality health services in resource-poor settings, mobile
health (mHealth) is increasingly being adopted. The role of mHealth in facilitating evidence …

Introduction The now ubiquitous smartphone has huge potential to assist clinical decision-
making across the globe. However, the rapid pace of digitalisation contrasts starkly with the …

Background Digital health interventions based on tools for Computerized Decision Support
(CDS) and Machine Learning (ML), which take advantage of new information, sensing and …

Background Many healthcare professionals use smartphones and tablets to inform patient
care. Contemporary research suggests that handheld computers may support aspects of …