scholarly journals Predicted Influences of Artificial Intelligence on Nursing Education: Scoping Review

JMIR Nursing ◽  
10.2196/23933 ◽  
2021 ◽  
Vol 4 (1) ◽  
pp. e23933
Author(s):  
Christine Buchanan ◽  
M Lyndsay Howitt ◽  
Rita Wilson ◽  
Richard G Booth ◽  
Tracie Risling ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Nursing Education ◽  
Clinical Practice ◽  
Nursing Students ◽  
Scoping Review ◽  
Nurse Educators ◽  
Clinical Care ◽  
Grey Literature ◽  
Academic Institutions ◽  
Health Technologies

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

scholarly journals Nursing Education in the Age of Artificial Intelligence: A Scoping Review (Preprint)

2020 ◽  
Author(s):  
Christine Buchanan ◽  
M. Lyndsay Howitt ◽  
Rita Wilson ◽  
Richard G Booth ◽  
Tracie Risling ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Nursing Education ◽  
Nursing Students ◽  
Scoping Review ◽  
Digital Health ◽  
Clinical Care ◽  
Grey Literature ◽  
Health Technologies ◽  
Cochrane Database ◽  
Educational Requirements

BACKGROUND It is predicted that artificial intelligence will transform nursing across various domains of nursing practice: administration, clinical care, education, policy, and research. However, little synthesis has been completed exploring how artificial intelligence technologies will influence nursing education specifically. OBJECTIVE A scoping review was conducted to explore how artificial intelligence-driven digital health technologies are expected to influence nursing education over the next ten years and beyond. METHODS This scoping review followed the previously published protocol from April 2020. 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 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 pre-specified inclusion and exclusion criteria. Included literature focused on nursing and digital health technologies that incorporate artificial intelligence. Data was charted using a piloted 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 and nursing students at the undergraduate/entry levels, graduate, and doctoral levels. A variety of artificial intelligence technologies were discussed, including virtual nursing applications and robots. Key categories derived from the literature included: (1) educational requirements for nurses at the entry level, graduate and doctoral levels, (2) educational requirements for nurses in clinical practice, and (3) changes to the delivery of nursing education. CONCLUSIONS Nurses need to be better equipped to evaluate and integrate artificial intelligence in practice settings, and imminent changes are needed within nursing education programs to prepare nurses to use these technologies. Additionally, nurse educators need to understand how to use artificial intelligence in their teaching practices at the undergraduate and post-graduate levels. INTERNATIONAL REGISTERED REPORT RR2-10.2196/17490

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

10.2196/17490 ◽  
2020 ◽  
Vol 9 (4) ◽  
pp. e17490 ◽  
Author(s):  
Christine Buchanan ◽  
M Lyndsay Howitt ◽  
Rita Wilson ◽  
Richard G Booth ◽  
Tracie Risling ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Education Policy ◽  
Scoping Review ◽  
Digital Health ◽  
Clinical Care ◽  
Electronic Database ◽  
Health Technologies ◽  
Care Education ◽  
Emerging Trends ◽  
Briefing Paper

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

scholarly journals Artificial intelligence for good health: a scoping review of the ethics literature

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Kathleen Murphy ◽  
Erica Di Ruggiero ◽  
Ross Upshur ◽  
Donald J. Willison ◽  
Neha Malhotra ◽  
...  
Keyword(s):  
Public Health ◽  
Artificial Intelligence ◽  
Global Health ◽  
Population Health ◽  
Health Systems ◽  
Scoping Review ◽  
Industrial Revolution ◽  
Ethical Issues ◽  
Grey Literature ◽  
Ethical Implications

Abstract Background Artificial intelligence (AI) has been described as the “fourth industrial revolution” with transformative and global implications, including in healthcare, public health, and global health. AI approaches hold promise for improving health systems worldwide, as well as individual and population health outcomes. While AI may have potential for advancing health equity within and between countries, we must consider the ethical implications of its deployment in order to mitigate its potential harms, particularly for the most vulnerable. This scoping review addresses the following question: What ethical issues have been identified in relation to AI in the field of health, including from a global health perspective? Methods Eight electronic databases were searched for peer reviewed and grey literature published before April 2018 using the concepts of health, ethics, and AI, and their related terms. Records were independently screened by two reviewers and were included if they reported on AI in relation to health and ethics and were written in the English language. Data was charted on a piloted data charting form, and a descriptive and thematic analysis was performed. Results Upon reviewing 12,722 articles, 103 met the predetermined inclusion criteria. The literature was primarily focused on the ethics of AI in health care, particularly on carer robots, diagnostics, and precision medicine, but was largely silent on ethics of AI in public and population health. The literature highlighted a number of common ethical concerns related to privacy, trust, accountability and responsibility, and bias. Largely missing from the literature was the ethics of AI in global health, particularly in the context of low- and middle-income countries (LMICs). Conclusions The ethical issues surrounding AI in the field of health are both vast and complex. While AI holds the potential to improve health and health systems, our analysis suggests that its introduction should be approached with cautious optimism. The dearth of literature on the ethics of AI within LMICs, as well as in public health, also points to a critical need for further research into the ethical implications of AI within both global and public health, to ensure that its development and implementation is ethical for everyone, everywhere.

scholarly journals Scoping review protocol: bladder cancer in Nigeria: what are the gaps in clinical care and research?

BMJ Open ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. e041894
Author(s):  
Joyce Kibaru ◽  
Pinky Kotecha ◽  
Abdulkarim Muhammad Iya ◽  
Beth Russell ◽  
Muzzammil Abdullahi ◽  
...  
Keyword(s):  
Bladder Cancer ◽  
Scoping Review ◽  
Low Income ◽  
Clinical Care ◽  
Grey Literature ◽  
Case Series ◽  
Cochrane Library ◽  
Future Research ◽  
Scoping Reviews ◽  
Local Risk

IntroductionBladder cancer (BC) is the 10th common cancer worldwide and ranks seventh in Nigeria. This scoping review aims to identify the gaps in clinical care and research of BC in Nigeria as part of the development of a larger national research programme aiming to improve outcomes and care of BC.Methods and analysisThis review will be conducted according to Arksey and O’Malley scoping review methodology framework. The following electronic databases will be searched: Medline (using the PubMed interface), Ovid Gateway (Embase and Ovid), Cochrane library and Open Grey literature. Two independent reviewers will screen titles and abstracts and subsequently screen full-text studies for inclusion, any lack of consensus will be discussed with a third reviewer. Any study providing insight into the epidemiology or treatment pathway of BC (RCTs, observations, case series, policy paper) will be included. A data chart will be used to extract relevant data from the included studies. Results will be reported according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for scoping reviews. A consultation process will be carried out with a multidisciplinary team of Nigerian healthcare professionals, patients and scientists.Ethics and disseminationThe results will be disseminated through peer-reviewed publications. By highlighting the key gaps in the literature, this review can provide direction for future research and clinical guidelines in Nigeria (and other low-income and middle-income countries), where BC is more prevalent due to local risk factors and healthcare settings.

scholarly journals Leveraging artificial intelligence for pandemic preparedness and response: a scoping review to identify key use cases

2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Ania Syrowatka ◽  
Masha Kuznetsova ◽  
Ava Alsubai ◽  
Adam L. Beckman ◽  
Paul A. Bain ◽  
...  
Keyword(s):  
Public Health ◽  
Artificial Intelligence ◽  
Real Time ◽  
Scoping Review ◽  
Grey Literature ◽  
Use Cases ◽  
Outbreak Detection ◽  
Response To Treatment ◽  
Pandemic Preparedness ◽  
Modeling Approaches

AbstractArtificial intelligence (AI) represents a valuable tool that could be widely used to inform clinical and public health decision-making to effectively manage the impacts of a pandemic. The objective of this scoping review was to identify the key use cases for involving AI for pandemic preparedness and response from the peer-reviewed, preprint, and grey literature. The data synthesis had two parts: an in-depth review of studies that leveraged machine learning (ML) techniques and a limited review of studies that applied traditional modeling approaches. ML applications from the in-depth review were categorized into use cases related to public health and clinical practice, and narratively synthesized. One hundred eighty-three articles met the inclusion criteria for the in-depth review. Six key use cases were identified: forecasting infectious disease dynamics and effects of interventions; surveillance and outbreak detection; real-time monitoring of adherence to public health recommendations; real-time detection of influenza-like illness; triage and timely diagnosis of infections; and prognosis of illness and response to treatment. Data sources and types of ML that were useful varied by use case. The search identified 1167 articles that reported on traditional modeling approaches, which highlighted additional areas where ML could be leveraged for improving the accuracy of estimations or projections. Important ML-based solutions have been developed in response to pandemics, and particularly for COVID-19 but few were optimized for practical application early in the pandemic. These findings can support policymakers, clinicians, and other stakeholders in prioritizing research and development to support operationalization of AI for future pandemics.

scholarly journals Concept-mapping as a teaching method to facilitate critical thinking in nursing education: A review of the literature

2010 ◽  
Vol 15 (1) ◽  
Author(s):  
Mary Chabeli
Keyword(s):  
Critical Thinking ◽  
Nursing Education ◽  
Nursing Students ◽  
Concept Mapping ◽  
Nurse Educators ◽  
Short Term Memory ◽  
Teaching Method ◽  
Educational Process ◽  
Theoretical Frameworks ◽  
Reading Material

Nursing students are exposed to a vast amount of information and reading material that is very specific, technical, and new to the students. Unless nurse educators provide a learning environment that promotes understanding through interaction, students might only commit unassimilated information to their short-term memory through rote learning, and no meaningful learning will occur. Nursing students must be able to link learned facts, concepts and principles with new knowledge in order to make sound rational decisions in practice (All & Havens 1997:1210, 1213). The aim of this paper is to describe the utilisation of concept-mapping as a teaching method to facilitate critical thinking by students in nursing education. The description of the utilisation of concept-mapping is done from the theoretical framework of concept-mapping and critical thinking to provide the epistemological basis for concept-mapping (Facione 1990:6, 13). Based on the exploration and description of the theoretical frameworks, four steps to facilitate critical thinking were formulated through concept-mapping on the basis of the educational process: the identification, interactive constructing process, formulation and evaluation steps. It is concluded that the utilisation of these steps will assist nurse educators to implement conceptmapping as a teaching method to facilitate critical thinking by student nurses in nursing education. Recommendations are made.Opsomming Verpleegkundestudente word blootgestel aan ’n geweldige hoeveelheid inligting en leesmateriaal wat baie spesifiek, tegnies en nuut is vir die studente. Tensy verpleegkundeopvoeders ’n leeromgewing kan voorsien wat deur interaksie die bevordering van begrip bewerkstellig, kan studente inligting deur papegaaiwerk in hul korttermyngeheue stoor, eerder as om dit te assimileer – geen betekenisvolle leer sal dus plaasvind nie. Verpleegkundestudente moet die vermoë hê om die verband tussen aangeleerde feite, konsepte en beginsels en nuwe kennis te lê sodat hulle in die praktyk rasionale besluite kan maak (All & Havens 1997:1210, 1213). Hierdie artikel het ten doel om die aanwending van konsepkartering as 'n onderrigstrategie te beskryf, ten einde die kritiese denke van leerders in die verpleegkunde te fasiliteer. Die beskrywing van die aanwending van konsepkartering word vanuit die teoretiese raamwerke van konsepkartering en kritiese denke gedoen om die epistemologiese grondslag vir konsepkartering te voorsien (Facione 1990:6, 13). Gegrond op die verkenning en beskrywing van die teoretiese raamwerke, word vier fases vir die fasilitering van kritiese denke geformuleer deur middel van konsepkartering. Hierdie verkenning en beskrywing is gebaseer op die onderwysproses: die identifiseringsfase, die interaktiewe konstrueringsproses, die formuleringsfase en evalueringsfase. Die gevolgtrekking word gemaak dat die aanwending van hierdie fases verpleegopvoeders behulpsaam sal wees in die implementering van konsepkartering as 'n onderrigmetode om kritiese denke by leerling verpleërs te fasiliteer in verpleegkunde-onderwys. Aanbevelings word gemaak.

Integrating YouTube into the Nursing Curriculum

2011 ◽  
Vol 16 (3) ◽  
Author(s):  
Leighsa Sharoff
Keyword(s):  
Nursing Education ◽  
Nursing Students ◽  
Graduate Students ◽  
Undergraduate Students ◽  
Nurse Educators ◽  
Nursing Curriculum ◽  
Nursing Courses ◽  
User Friendly ◽  
Nursing Professionals ◽  
Theoretical Foundations

Nurse educators need to be innovative, stimulating, and engaging as they teach future nursing professionals. The use of YouTube in nursing education classes provides an easy, innovative, and user-friendly way to engage today’s nursing students. YouTube presentations can be easily adapted into nursing courses at any level, be it a fundamentals course for undergraduate students or a theoretical foundations course for graduate students. In this article I will provide information to help educators effectively integrate YouTube into their course offerings. I will start by reviewing the phenomenon of social networking. Next I will discuss challenges and strategies related to YouTube learning experiences, after which I will share some of the legal considerations in using YouTube. I will conclude by describing how to engage students via YouTube and current research related to YouTube.

scholarly journals Clinical experiences at veterans administration primary care clinics: An interprofessional education project for advanced practice nurses and health professions students

2017 ◽  
Vol 7 (12) ◽  
pp. 1
Author(s):  
Margaret Brommelsiek ◽  
Jane Anthony Peterson ◽  
Sarah Knopf-Amelung ◽  
Tracy Lynn Graybill
Keyword(s):  
Primary Care ◽  
Nursing Education ◽  
Interprofessional Education ◽  
Clinical Care ◽  
Primary Care Clinic ◽  
Advanced Practice ◽  
Health Administration ◽  
Clinical Experiences ◽  
Academic Institutions ◽  
Care Clinic

There is limited literature that specifically addresses how academic institutions and healthcare facilities effectively establish and manage clinical experiences for students. Since advanced practice nursing education (APRN) programs strive to provide appropriate clinical experiences as part of their students’ educational training, it is imperative that academic institutions and clinical facilities establish working relationships and protocols for productive collaboration. Barriers may exist in arranging student clinical placements, including scheduling conflicts and provider workload burden. Collaborative approaches for placing APRN students in primary care settings can be beneficial for student learning and the clinical care of patients. The purpose of this paper is to provide an initial roadmap for coordinating APRN and other health professional students’ placement in clinical rotations at a Veterans Health Administration Medical Center (VAMC) primary care clinic in the Midwest.

scholarly journals Encompassing multiple moral paradigms: A challenge for nursing educators

2010 ◽  
Vol 17 (2) ◽  
pp. 189-199 ◽  
Author(s):  
Elizabeth Shirin Caldwell ◽  
Hongyan Lu ◽  
Thomas Harding
Keyword(s):  
Nursing Education ◽  
Nursing Students ◽  
Cultural Values ◽  
Nursing Faculty ◽  
Nurse Educators ◽  
Chinese Students ◽  
Real Life ◽  
Chinese Student ◽  
Nursing Educators

Providing ethically competent care requires nurses to reflect not only on nursing ethics, but also on their own ethical traditions. New challenges for nurse educators over the last decade have been the increasing globalization of the nursing workforce and the internationalization of nursing education. In New Zealand, there has been a large increase in numbers of Chinese students, both international and immigrant, already acculturated with ethical and cultural values derived from Chinese Confucian moral traditions. Recently, several incidents involving Chinese nursing students in morally conflicting situations have led to one nursing faculty reflecting upon how moral philosophy is taught to non-European students and the support given to Chinese students in integrating the taught curriculum into real-life clinical practice settings. This article uses a case study involving a Chinese student to reflect on the challenges for both faculty members and students when encountering situations that present ethical dilemmas.

Practicing What We Preach: Balancing Teaching and Clinical Practice Competencies

2007 ◽  
Vol 4 (1) ◽  
Author(s):  
Maureen A Little ◽  
P. Jane Milliken
Keyword(s):  
Nursing Education ◽  
Clinical Practice ◽  
Professional Practice ◽  
Nurse Educators ◽  
Nurse Educator ◽  
Future Research ◽  
Dual Roles ◽  
Education Literature ◽  
Expert Practice

Most nurse educators fulfill dual roles of clinical practitioner and teacher and thus have to achieve a balance between these two challenging sets of competencies. The authors discuss the obligation and expectation that nurse educators are concurrently experts in clinical practice and education. Is this dual competence a feasible and sustainable goal? To begin to explore this issue, the meanings of 'expert practice' and 'practice competence,' derived from the nursing education literature, are reviewed. Current professional practice competency requirements related to the nurse educator role are discussed. Questions are raised regarding support for and barriers to achieving these competencies. The potential challenges and rewards of this endeavour are presented and illustrated by two nurse educators who share their stories of achieving a balance in teaching and clinical practice competence. Finally, implications for nurse educators and directions for future research into this issue are proposed.

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