The Digital Evolution in Healthcare: What Does It Mean for Nursing?

The advancement of huge data sets in healthcare has spawned unique insights into care provision. Formerly known as the "Digital Revolution," now more commonly and correctly termed an "evolution," the deployment of Big Data continues to inspire implications for how care is provided, evaluated, and experienced. This commentary reviews foremost developments that offer direction for acquisition of digital competencies by nurses.

Data Science Implementation Trends in Nursing Practice: A Review of the 2021 Literature.

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 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.

Data Science Methods for Nursing-Relevant Patient Outcomes and Clinical Processes: The 2019 Literature Year in Review.

Data science continues to be recognized and used within healthcare due to the increased availability of large data sets and advanced analytics. It can be challenging for nurse leaders to remain apprised of this rapidly changing landscape. In this article, we describe our findings from a scoping literature review of papers published in 2019 that use data science to explore, explain, and/or predict 15 phenomena of interest to nurses.

Setting the Research Agenda for Nursing Administration and Leadership Science: A Delphi Study.

Objective: The aim of this study was to identify and prioritize research topics for nursing administration and leadership science.

Background: Nursing administration and leadership research priorities should provide a framework for building the science needed to inform practice.

Methods: The Association for Leadership Science in Nursing (ALSN) and American Organization for Nursing Leadership (AONL) Foundation (AONL-F) for Nursing Leadership and Education collaborated on a Delphi study.

Diffusion of Precision Health Into a Baccalaureate Nursing Curriculum.

Background: Precision health (PH) and precision medicine are emerging approaches to health care promising more individualized care for health consumers. This improved type of care management uses innovation in science and technology to accurately identify diseases, treatments, and environmental influences to provide effective and efficient care. Multiple industries are supporting this venture, including nursing.

Learning from mistakes in a simulated nursing leadership laboratory.

Human patient simulation in nursing education has become an accepted and expected form of pedagogy. Research on the use of human patient simulation to evaluate student performance, however, is still at an early stage. The vast majority of these sources report the unit of analysis as the nurse-patient dyad (one nurse-one patient) situated in an infrequently occurring, high-risk, or costly event such as a code blue, and the literature reveals little evidence on the efficacy of the use of simulation for the care of multiple patients.