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.

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.

Promoting evidence-based care through nursing order sets / Promoviendo el cuidado basado en la evidencia a través de conjuntos de órdenes de Enfermería / Promover o cuidado da saúde baseada em evidências através de conjuntos de critérios de enfermagem

The use of best practice guidelines promotes evidence-based care and quality health outcomes. Traditionally, best practice guidelines were designed for use as a paper-based resource. More recently, best practice guidelines have been developed for use on mobile devices such as smartphones. Objective: This reflexive article seeks to document the features and perceived benefits of the RNAO nursing order sets and possible implementation strategies. Topic: With the increased use of electronic medical records and hospital information systems in health care, there is now a growing need for best practice guidelines to be seamlessly integrated within these electronic systems. The Registered Nurses’ Association of Ontario (RNAO) has recently developed nursing order sets as one strategy to address this need. Nursing order sets facilitate best practice guideline implementation in electronic environments by delineating clear, concise nursing interventions (derived from the best practice guidelines) that can be integrated with an electronic medical record or hospital information system, irrespective of the vendor. Conclusions: The integration of nursing order sets derived from RNAO’s Best Practice Guidelines within electronic or paper-based systems is one innovative solution to the growing need for evidence-informed decision-making at the point of care. Nursing order sets expedite the knowledge translation process and simplify BPG implementations in electronic environments.

El uso de las guías de mejores prácticas promueve cuidado basado en la evidencia y calidad en los resultados sanitarios. Tradicionalmente, las guías de mejores prácticas fueron diseñadas para ser usadas como un recurso escrito de forma manual. Más recientemente, las guías de mejores prácticas han sido desarrolladas para el uso en aparatos móviles como teléfonos inteligentes. Objetivo: Este artículo reflexivo busca documentar las características y beneficios percibidos del conjunto de órdenes de enfermería de la RNAO y sus posibles estrategias de implementación. Tema de reflexión: Con el aumento del uso de registros médicos electrónicos y sistemas de información hospitalaria en el cuidado de salud, hay ahora una creciente necesidad para que las guías de mejores prácticas sean sin lugar a dudas integradas en los sistemas electrónicos. La Asociación de Enfermeras Profesionales de Ontario (RNAO) ha desarrollado recientemente un conjunto de órdenes de enfermería como una estrategia para cubrir esta necesidad. Los conjuntos de órdenes de enfermería facilitan la implementación de las guías de mejores prácticas en un ambiente electrónico delineando intervenciones de enfermería claras y concisas (derivadas de guías de mejores prácticas) que pueden ser integradas con un registro medico electrónico o un sistema de información hospitalario, sin importar el proveedor. Conclusiones: La integración de los conjuntos de órdenes de enfermería derivada de las guías de mejores prácticas de la RNAO en sistemas a papel o electrónicos, es una solución innovadora para la creciente necesidad de la toma de decisiones basadas en la evidencia al momento de tratar al paciente. Los conjuntos de órdenes de enfermería agilizan el proceso de traducción del conocimiento y simplifican las implementaciones de las guías de mejores prácticas en ambientes electrónicos.

O uso de guias sobre melhores práticas promove o cuidado baseado em evidências e qualidade nos resultados de saúde. Tradicionalmente, as guias de melhores práticas foram elaboradas como recurso a ser usado no papel. Mais recentemente, as diretrizes de melhores práticas foram desenvolvidas para uso em dispositivos móveis, como celulares smartphones. Objetivo: Este artigo de reflexão procura documentar as características e os benefícios percebidos no conjunto dos critérios da enfermagem RNAO e suas possíveis estratégias para colocá-las em prática. Temas: Com o uso cada vez mais frequente dos registros médicos eletrônicos e dos sistemas de informação hospitalar no cuidado da saúde, surge uma necessidade sempre crescente para que as guias sobre melhores práticas sejam incluídas nos sistemas eletrônicos. A Organização de Enfermeiras Profissionais de Ontario (RNAO) fez recentemente um conjunto de critérios de enfermagem como estratégia para atender a essa necessidade. O conjunto de critérios de enfermagem facilita a implementação de orientações sobre melhores práticas em um ambiente eletrônico delineando intervenções de enfermagem clara e concisa (derivado de guias de melhores práticas), que pode ser integrado com um prontuário eletrônico ou um sistema de informação hospitalar, independentemente do provedor. Conclusões: A integração do conjunto de critérios de enfermagem derivado das Guias sobre Melhores Práticas da RNAO, nos sistemas eletrônicos ou no papel, é uma solução inovadora para a crescente necessidade de tomada de decisões baseadas em evidências na hora de cuidar do paciente. O conjunto de critérios de enfermagem agiliza o processo de tradução do conhecimento e simplifica a implementação das guias sobre melhores práticas em ambientes eletrônicos.

A systematic review of internet-based self-management interventions for youth with health conditions.

OBJECTIVE: Critically appraise research evidence on effectiveness of internet self-management interventions on health outcomes in youth with health conditions. METHODS: Published studies of internet interventions in youth with health conditions were evaluated. Electronic searches were conducted in EBM Reviews-Cochrane Central Register of Controlled Trials, Medline, EMBASE, CINAHL and PsychINFO. Two reviewers independently selected articles for review and assessed methodological quality. Of 29 published articles on internet interventions; only nine met the inclusion criteria and were included in analysis. RESULTS: While outcomes varied greatly between studies, symptoms improved in internet interventions compared to control conditions in seven of nine studies. There was conflicting evidence regarding disease-specific knowledge and quality of life, and evidence was limited regarding decreases in health care utilization. CONCLUSIONS: There are the beginnings of an evidence base that self-management interventions delivered via the internet improve selected outcomes in certain childhood illnesses.

Hospital infectious disease emergency preparedness: a 2007 survey of infection control professionals.

BACKGROUND: Hospital preparedness for infectious disease emergencies is imperative. METHODS: A 40-item hospital preparedness survey was administered to Association for Professionals in Infection Control and Epidemiology, Inc, members. Kruskal-Wallis tests were used to evaluate the relationship between hospital size and emergency preparedness in relation to various surge capacity measures. Significant findings were followed by Mann-Whitney U post hoc tests. RESULTS: Most hospitals have an infection control professional on their disaster committee, 24/7 infection control support, a health care worker prioritization plan for vaccine or antivirals, and nonhealth care facility surge beds but lack health care worker, laboratory, linen, and negative-pressure room surge capacity. Many hospitals participated in a disaster exercise recently and are stockpiling N95 respirators and medications. Few are stockpiling ventilators, surgical masks, or patient linens; those that are have