Predicted Influences of Artificial Intelligence on Nursing Education: Scoping Review.

BACKGROUND: It is predicted that artificial intelligence (AI) will transform nursing across all domains of nursing practice, including administration, clinical care, education, policy, and research. Increasingly, researchers are exploring the potential influences of AI health technologies (AIHTs) on nursing in general and on nursing education more specifically. However, little emphasis has been placed on synthesizing this body of literature. OBJECTIVE: A scoping review was conducted to summarize the current and predicted influences of AIHTs on nursing education over the next 10 years and beyond. METHODS: This scoping review followed a previously published protocol from April 2020. Using an established scoping review methodology, the databases of MEDLINE, Cumulative Index to Nursing and Allied Health Literature, Embase, PsycINFO, Cochrane Database of Systematic Reviews, Cochrane Central, Education Resources Information Centre, Scopus, Web of Science, and Proquest were searched. In addition to the use of these electronic databases, a targeted website search was performed to access relevant grey literature. Abstracts and full-text studies were independently screened by two reviewers using prespecified inclusion and exclusion criteria. Included literature focused on nursing education and digital health technologies that incorporate AI. Data were charted using a structured form and narratively summarized into categories. RESULTS: A total of 27 articles were identified (20 expository papers, six studies with quantitative or prototyping methods, and one qualitative study). The population included nurses, nurse educators, and nursing students at the entry-to-practice, undergraduate, graduate, and doctoral levels. A variety of AIHTs were discussed, including virtual avatar apps, smart homes, predictive analytics, virtual or augmented reality, and robots. The two key categories derived from the literature were (1) influences of AI on nursing education in academic institutions and (2) influences of AI on nursing education in clinical practice. CONCLUSIONS: Curricular reform is urgently needed within nursing education programs in academic institutions and clinical practice settings to prepare nurses and nursing students to practice safely and efficiently in the age of AI. Additionally, nurse educators need to adopt new and evolving pedagogies that incorporate AI to better support students at all levels of education. Finally, nursing students and practicing nurses must be equipped with the requisite knowledge and skills to effectively assess AIHTs and safely integrate those deemed appropriate to support person-centered compassionate nursing care in practice settings. INTERNATIONAL REGISTERED REPORT IDENTIFIER IRRID: RR2-10.2196/17490.

Assessment of the Nursing Quality Indicators for Reporting and Evaluation (NQuIRE) database using a data quality index.

A comprehensive data quality assessment is necessary to expand a nursing database that is designed for evaluating the impact of implementing Best Practice Guidelines (BPG) developed by the Registered Nurses' Association of Ontario (RNAO). This case report presents a method to standardize data quality assessments of the Nursing Quality Indicators for Reporting and Evaluation (NQuIRE) database by developing a data quality framework (DQF) and assessing key dimensions of the framework using a data quality index (DQI). The data quality index is a single key performance metric for assessing the quality of the database. The aims of sharing this case report are 2-fold: (1) to promote best practices for assessing data quality by developing and implementing a data quality framework and (2) to demonstrate an unprecedented method of assessing the data quality of a nursing database.

Nursing in the Age of Artificial Intelligence: Protocol for a Scoping Review.

BACKGROUND: It is predicted that digital health technologies that incorporate artificial intelligence will transform health care delivery in the next decade. Little research has explored how emerging trends in artificial intelligence-driven digital health technologies may influence the relationship between nurses and patients. OBJECTIVE: The purpose of this scoping review is to summarize the findings from 4 research questions regarding emerging trends in artificial intelligence-driven digital health technologies and their influence on nursing practice across the 5 domains outlined by the Canadian Nurses Association framework: administration, clinical care, education, policy, and research. Specifically, this scoping review will examine how emerging trends will transform the roles and functions of nurses over the next 10 years and beyond. METHODS: Using an established scoping review methodology, MEDLINE, Cumulative Index to Nursing and Allied Health Literature, Embase, PsycINFO, Cochrane Database of Systematic Reviews, Cochrane Central, Education Resources Information Centre, Scopus, Web of Science, and Proquest databases were searched. In addition to the electronic database searches, a targeted website search will be performed to access relevant grey literature. Abstracts and full-text studies will be independently screened by 2 reviewers using prespecified inclusion and exclusion criteria. Included literature will focus on nursing and digital health technologies that incorporate artificial intelligence. Data will be charted using a structured form and narratively summarized. RESULTS: Electronic database searches have retrieved 10,318 results. The scoping review and subsequent briefing paper will be completed by the fall of 2020. CONCLUSIONS: A symposium will be held to share insights gained from this scoping review with key thought leaders and a cross section of stakeholders from administration, clinical care, education, policy, and research as well as patient advocates. The symposium will provide a forum to explore opportunities for action to advance the future of nursing in a technological world and, more specifically, nurses' delivery of compassionate care in the age of artificial intelligence. Results from the symposium will be summarized in the form of a briefing paper and widely disseminated to relevant stakeholders. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/17490.

Predicted Influences of Artificial Intelligence on the Domains of Nursing: Scoping Review.

BACKGROUND: Artificial intelligence (AI) is set to transform the health system, yet little research to date has explored its influence on nurses-the largest group of health professionals. Furthermore, there has been little discussion on how AI will influence the experience of person-centered compassionate care for patients, families, and caregivers. OBJECTIVE: This review aims to summarize the extant literature on the emerging trends in health technologies powered by AI and their implications on the following domains of nursing: administration, clinical practice, policy, and research. This review summarizes the findings from 3 research questions, examining how these emerging trends might influence the roles and functions of nurses and compassionate nursing care over the next 10 years and beyond. METHODS: Using an established scoping review methodology, MEDLINE, CINAHL, EMBASE, PsycINFO, Cochrane Database of Systematic Reviews, Cochrane Central, Education Resources Information Center, Scopus, Web of Science, and ProQuest databases were searched. In addition to the electronic database searches, a targeted website search was performed to access relevant gray literature. Abstracts and full-text studies were independently screened by 2 reviewers using prespecified inclusion and exclusion criteria. Included articles focused on nursing and digital health technologies that incorporate AI. Data were charted using structured forms and narratively summarized. RESULTS: A total of 131 articles were retrieved from the scoping review for the 3 research questions that were the focus of this manuscript (118 from database sources and 13 from targeted websites). Emerging AI technologies discussed in the review included predictive analytics, smart homes, virtual health care assistants, and robots. The results indicated that AI has already begun to influence nursing roles, workflows, and the nurse-patient relationship. In general, robots are not viewed as replacements for nurses. There is a consensus that health technologies powered by AI may have the potential to enhance nursing practice. Consequently, nurses must proactively define how person-centered compassionate care will be preserved in the age of AI. CONCLUSIONS: Nurses have a shared responsibility to influence decisions related to the integration of AI into the health system and to ensure that this change is introduced in a way that is ethical and aligns with core nursing values such as compassionate care. Furthermore, nurses must advocate for patient and nursing involvement in all aspects of the design, implementation, and evaluation of these technologies. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.2196/17490.

Tobacco-Nicotine Education and Training for Health-Care Professional Students and Practitioners: A Systematic Review.

Introduction: The objective of this systematic review was to investigate what education and training characteristics prepares and supports health-care professionals (HCPs) in the delivery of competent and effective care to clients who use tobacco-nicotine. Aims and Methods: A search of eight bibliographic databases for English-language peer-reviewed publications from January 2006 to March 2015. Studies were included if they met the a priori inclusion criteria, which consisted of: (1) quantitative study design and (2) focus on tobacco-nicotine education or training for HCP students and practitioners. All studies were independently screened for inclusion by two reviewers. Data from included studies were extracted for study characteristics and key outcomes then critically appraised for methodological quality. Results: Fifty-nine studies were included for narrative synthesis. Two categories emerged: (1) curriculum characteristics (n = 10) and (2) education and training interventions (n = 49). Included curriculum studies identified the following themes: content, intensity, competencies evaluation, and barriers. Study findings about education and training interventions were grouped by level of education (prelicensure, post-licensure, and faculty training), teaching modality, health discipline, and the associated HCP and client outcomes. Conclusions: This comprehensive review suggests that there is a lack of consistency in HCP tobacco-nicotine education and training characteristics. This paper provides valuable categorization of the most frequently utilized components of academic curriculum and discusses the interventions in relation to HCP and client outcomes. Gaps in the literature are highlighted, and the need for standardization of tobacco-nicotine training competencies and evaluation is discussed. Future research investigating the most effective approaches to training is needed. Implications: This systematic review summarizes existing tobacco-related curriculum components (content, intensity, competency evaluation, and barriers) and training interventions for health-care professionals worldwide and demonstrates that they are associated with positive health-care professional outcomes (knowledge, attitudes, behaviors, and skills) and client outcomes (quit attempts and smoking abstinence).

Person-centred care: an overview of reviews.

BACKGROUND: Existing evidence suggests that a person-centred approach can improve coordination and access to health care and services. OBJECTIVES: This overview sought to: (1) identify and define components of person-centred care; (2) explore nursing and health-care provider behaviours that are person-centred; and (3) identify systems level supports required to enable person-centred care. METHODS: An overview of reviews was conducted to locate synthesized literature published between June 2005 and April 2014. Two independent reviewers screened, extracted data and quality appraised the sources. Results were synthesized narratively. RESULTS: A total of 46 articles were deemed relevant to this overview. This paper synthesizes the results of 43 of the 46 articles. A universal definition of person-centred care was not found, however; common components, associated health-care provider behaviours and the organizational supports required for person-centred care are discussed. CONCLUSIONS: Key findings from this review outline that health-care providers and organizations need to promote person-centred care by engaging persons in partnerships, shared decision-making, and meaningful participation in health system improvement.

The influence of authentic leadership and areas of worklife on work engagement of registered nurses.

AIM: To examine the relationships among nurses' perceptions of nurse managers' authentic leadership, nurses' overall person-job match in the six areas of worklife and their work engagement. BACKGROUND: Reports have highlighted the impact of demanding and unsupportive work environments on nurses' wellbeing, resulting in a need for strong nursing leadership to build sustainable and healthier work environments. METHODS: A secondary analysis of data collected from a non-experimental, predictive design survey of a random sample of 280 registered nurses working in acute care hospitals was conducted. RESULTS: An overall person-job match in the six areas of worklife fully mediated the relationship between authentic leadership and work engagement. Further, authentic leadership, overall person-job match in the six areas of worklife and years of nursing experience explained 33.1% of the variance in work engagement. CONCLUSIONS: Findings suggest that nurses who work for managers demonstrating higher levels of authentic leadership report a greater overall person-job match in the six areas of worklife and greater work engagement. IMPLICATIONS FOR NURSING MANAGEMENT: As nurse managers' play a key role in promoting work engagement among nurses, authentic leadership development for nurse managers focusing on self-awareness, relational transparency, ethics and balanced processing would be beneficial.