Since the release of the first mobile devices, the usability of on-board applications has been
the concern not only of software vendors but hardware manufacturers as well. The academia …

The ever-increasing amount of biomedical data is enabling new large-scale studies, even
though ad hoc computational solutions are required. The most recent Machine Learning …

Background: HIV disproportionately impacts young men who have sex with men (YMSM)
who experience disparities across the HIV care continuum. Addressing antiretroviral therapy …

Objective: Skin examination to detect cutaneous melanomas is commonly performed in
primary care. In recent years, clinical decision support systems (CDSS) based on artificial …

Background Clinical empathy is considered a crucial element in patient-centered care. The
advent of digital technology in healthcare has introduced new dynamics to empathy which …

The think aloud protocol (TAP) has two components, the think aloud interview, a technique
for verbal data collection, and protocol analysis, a technique for predicting and analyzing …

Background Clinical predictive tools quantify contributions of relevant patient characteristics
to derive likelihood of diseases or predict clinical outcomes. When selecting predictive tools …

Background Medication discrepancies, which are a threat to patient safety, can be reduced
by medication reconciliation (MedRec). MedRec is a complex process that can be supported …

Background Electronic clinical decision support tools (eCDS) are increasingly available to
assist General Practitioners (GP) with the diagnosis and management of a range of health …

Background: Design thinking and human-centered design approaches have become
increasingly common in health care literature, particularly in relation to health information …