Disruptive Engagements With Technologies, Robotics, and Caring

Tanioka, Tetsuya; Yasuhara, Yuko; Diño, Michael Joseph S.; Kai, Yoshihiro; Locsin, Rozzano C.; Schoenhofer, Savina O.

doi:10.1097/naq.0000000000000365

Cited by 25 publications

(24 citation statements)

References 22 publications

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“…Although there is consensus in the literature that emerging trends in AIHTs will impact nursing care [2,44], there was a paucity of literature on the potential impacts of AIHTs on compassionate nursing care specifically. Consequently, articles that discussed AIHTs and caring were used to address this research question, and the findings were generalized to compassionate care.…”

Section: Research Question 1: Nursing Compassionate Care and Aimentioning

confidence: 99%

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

Buchanan¹,

Howitt²,

Wilson³

et al. 2020

JMIR Nursing

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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.

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Section: Research Question 1: Nursing Compassionate Care and Aimentioning

confidence: 99%

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

Buchanan¹,

Howitt²,

Wilson³

et al. 2020

JMIR Nursing

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“…In recent years, CRs have been introduced in nursing care welfare facilities and hospitals and has been used for exercise guidance, conversation, and recreation such as karaoke for older adults [30]. However, several issues needed to be identified and taken into consideration when introducing CRs [31].…”

Section: Discussionmentioning

confidence: 99%

The Intermediary Roles of Public Health Nurses (PHNs) in Utilizing Communication Robots (CRs) in Community Health Care Practice

Kawai¹,

Betriana²,

Tanioka³

et al. 2019

Health

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Robot technology is expected to reduce the burden of medical professionals, a concern in the super-aged society. The aim of this article is to determine the intermediary roles of Public Health Nurses (PHNs) in using Communication Robots (CRs) in Community Health care. It is necessary to consider who will manage, and how to draw lines of responsibility when a problem occurs when using robots in the future. Regarding the mediator or intermediary role of PHNs in the use of CRs, PHNs are expected to be cognizant of varieties of robots for use with persons of diverse ages and health levels, as well as of robot performances. As one of the community healthcare workers who service the elderly living in the community, the role of PHNs as mediators or intermediaries is to pay attention to ethical and moral issues while working with CRs to manage the health of the community. Lack of understanding of the intermediary role might create possible ethico-moral issues in the future. Therefore, it is critical for PHNs to understand their role as intermediaries. In doing so, it is expected that older people at home will be able to live peaceful lives, as well as be physically and mentally healthy.

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“…Transformation of nursing curricula will be necessary to ensure future nurses are equipped with informatics competencies, as well as competencies in digital and data literacy to work in clinical settings that increasingly use AI and ML technology. Strong nursing leadership will be required to incentivize nurse educators to embrace the need for curricular reform and to adopt new pedagogies that prepare nurses and nursing students to use these emerging technologies [10,[26][27][28][29][30].…”

Section: Current Statementioning

confidence: 99%

“…See Multimedia Appendix 2 for further details. The types of emerging AIHTs discussed in the literature that have influenced or are predicted to influence nursing education included the following: virtual avatar apps (ie, chatbots) [7], smart homes [28], predictive analytics [27,39,40], virtual or augmented reality devices [41], and robots [26,[42][43][44][45]. An overview of these emerging AIHTs and their current or predicted influences on nursing education is provided in Multimedia Appendix 2.…”

Section: Overview Of Articlesmentioning

confidence: 99%

“…Another article suggested that nursing students are responsive and receptive to virtual reality education modalities and virtual reality training may be more effective than traditional teaching modalities in some situations [41]. Given these potential benefits, several authors urge nurse educators to consider the value of adopting new pedagogies that provide opportunities for undergraduate nursing students to engage with these emerging technologies [6,10,[26][27][28][29].…”

Section: Influences Of Ai On Nurse Educatorsmentioning

confidence: 99%

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Predicted Influences of Artificial Intelligence on Nursing Education: Scoping Review

Buchanan¹,

Howitt²,

Wilson³

et al. 2021

JMIR Nursing

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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

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Disruptive Engagements With Technologies, Robotics, and Caring

Cited by 25 publications

References 22 publications

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

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

The Intermediary Roles of Public Health Nurses (PHNs) in Utilizing Communication Robots (CRs) in Community Health Care Practice

Predicted Influences of Artificial Intelligence on Nursing Education: Scoping Review

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