ABSTRACT
OBJECTIVES: The goal of this work was to provide a review of the implementation of data science driven applications focused on structural or outcome-related nurse sensitive indicators in the literature in 2021. By conducting this review, we aim to inform readers of on trends in the nursing indicators being addressed, the patient populations and settings of focus, and lessons and challenges identified during the implementation of these tools. METHODS: We conducted a rigorous descriptive review of the literature to identify relevant research published in 2021. We extracted data on model development, implementation-related; lessons learned and challenges and stakeholder involvement. We also assessed whether reports of data science application implementations currently follow the guidelines of the Developmental and Exploratory Clinical Investigations of DEcision support systems driven by AI (DECIDE-AI) framework. RESULTS: Of 4,943 articles found in PubMed (NLM) and CINAHL (EBSCOhost), 11 were included in the final review and data extraction. Systems leveraging data science were developed for adult patient populations and were primarily deployed in hospital settings. The clinical domains targeted included mortality/deterioration, utilization/resource allocation and hospital acquired infections/COVID-19. The composition of development teams and types of stakeholders involved varied. Research teams more frequently reported on implementation methods than implementation results. Most studies provided lessons learned that could help inform future implementations of data science systems in healthcare. CONCLUSIONS: In 2021, very few studies report on the implementation of data science driven applications focused on structural- or outcome-related nurse sensitive indicators. This gap in the sharing of implementation strategies needs to be addressed in order for these systems to be successfully adopted in health care settings.
ABSTRACT
This article is a personal reflection of how the coronavirus exposes 'shocking' levels of racism against us, and our vulnerability as Chinese women living in Britain. By reflecting our experiences of verbal and physical race-based violence connected to coronavirus, we explore the fluidity of our racial identities, the taken-for-granted racial stereotypes and white privilege, and everyday racism in the UK. Can the vulnerable use vulnerability as an agent to shift the moment of helplessness? We contribute to the uncomfortable yet important debate on racism against Chinese women living in the UK through voicing up our embodied vulnerability as invisible and disempowered subjects to this viral anti-Chinese racism. This is a form of resistance where we care for the racialized and marginalized others. In doing so, we lift the painted veil of the pandemic, race and racism to collectively combat racial inequalities.
ABSTRACT
This article is a personal reflection of how the current COVID-19 pandemic affects our working lives and wellbeing, as single female academics who live alone in the UK. We offer a dialogue of our daily lives of being confined at home with lockdown measures extended. In particular, we focus on the experience of, and coping with, isolation and loneliness. Is isolation making us more socially connected? Through 'virtual' working and changing learning environments for us as teachers and learners, we explore changes in our working life and subsequent changes in the domestic environment. By capturing our lived experiences, we create an intellectual and safe space to voice our emotional struggles - as 'invisible' isolated individuals containing and consuming loneliness on our own. We foster alternative conversations as to how we might engender new perspectives from single female academics to combat social isolation in the workplace.