The field of digital health, and its meaning, has evolved rapidly over the last 20 years. For
this article we followed the most recent definition provided by FDA in 2020. Emerging …

Digitalisation of the healthcare sector promises to revolutionise patient healthcare globally.
From the different technologies, virtual tools including artificial intelligence, blockchain …

Systematic reviews have quantified the effectiveness, feasibility, acceptability, and cost-
effectiveness of digital health technologies (DHTs) used by health-care workers. We aimed …

In public health context, oncology is associated with severe negative impact on patients and
on their relatives' quality of life. Over the last decades, survival has remained at 50 …

Breast cancer is the most frequently diagnosed cancer in women, with more than 2.1 million
new diagnoses worldwide every year. Personalised treatment is critical to optimising …

Background and aim Improving health care quality and ensuring patient safety is impossible
without addressing medical errors that adversely affect patient outcomes. Therefore, it is …

Background: To deal with complexity in cancer care, computerized clinical decision support
systems (CDSSs) are developed to support quality of care and improve decision-making …

Importance Multicomponent electronic patient-reported outcome cancer symptom
management systems reduce symptom burden. Whether all components contribute to …

Background The increasing prevalence of DH applications has outpaced research and
practice in digital health (DH) evaluations. Patient experience (PEx) was reported as one of …

The success of artificial intelligence depends on whether it can penetrate the boundaries of
evidence-based medicine, the lack of policies, and the resistance of medical professionals …