Artificial intelligence (AI) in the domain of healthcare is increasing in prominence.
Acceptance is an indispensable prerequisite for the widespread implementation of AI. The …

Background Mortality is the most considered outcome for assessing the quality of hospital
care. However, hospital mortality depends on diverse patient characteristics; thus, complete …

Context With the expansion of palliative care services in clinical settings, clinical decision
support systems (CDSSs) have become increasingly crucial for assisting bedside nurses …

Background The proliferation of health care data in electronic health records (EHRs) is
fueling the need for clinical decision support (CDS) that ensures accuracy and reduces …

Background: Poor usability is a primary cause of unintended consequences related to the
use of electronic health record (EHR) systems, which negatively impacts patient safety. Due …

Background In several studies, investigators have successfully used an internet-enabled
PAINReportIt tablet to allow patients to report their pain to clinicians in real-time, but it is …

Background Research identified preliminary evidence that artificial intelligence (AI) has
emerged as a transformative force in healthcare, revolutionising various aspects of …

Background Precision health is a population-based approach that incorporates big-data
strategies to understand the complex interactions between biological, environmental …

The purpose of this qualitative descriptive research was to explore responding (RSRN) and
receiving nurses'(RCRN) perspectives on messages delivered from the EHR in response to …

Les pathologies de la muqueuse buccales présentent un polymorphisme clinique important.
Cela concerne les dermatoses bénignes mais également les lésions cancéreuses et pré …