… It has been argued that explainable AI will engender trust with the health-care workforce,
provide … We provide an overview of current explainability techniques and highlight how various …

… To advance the nursing science discipline, researchers … It orients data analysis towards the
development of findings … complexities of health care education and, moreover, assist medical …

… In this paper we review the recent literature to provide guidance to researchers and … In this
section we explore why and when explainability can be useful in health care. Diverse reasons …

… the role of PSWs, when undertaking data analysis we found that … In summary, PSWs needed
to ‘fit’ with clinical care teams … and enhancing work practices in complex health interventions, …

… and identify new directions for advancing development in this … need for more effective mental
health services, the role of digital … Data analysis to find associations in context data and to …

… to produce a straight forward description of the phenomena [2]. … This includes content analysis
(n=3), thematic analysis (n=5) … of data analysis or do not make it clear how data analysis …

… Within this context, this review aimed to systematically examine the discrimination … This
review also determined the relative importance of the attitudes of health care staff and patient-…

… data sources requires insight into the underlying health care system. This review describes
key elements of the Danish health care … for “digital health” has been launched to advance …

… -shelf” with limited data science expertise. We also identify … to improve health outcomes, cut
healthcare costs, and advance … One reason for this is that health care professionals often lack …

… The world is rapidly progressing in the technology industry due … After a careful review of the
literature, the authors have … frequency analysis was used for the demographic data analysis …