Machine learning: Great opportunities, but will it replace nurses?
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Cited by 2 publications
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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.
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.
Predicted Influences of Artificial Intelligence on the Domains of Nursing: Scoping Review (Preprint)
BACKGROUND Artificial intelligence is set to transform health care, yet little research to date has explored its influence on nursing practice and health policy. Furthermore, there has been little discussion of how artificial intelligence will influence the compassionate care component of nursing care. OBJECTIVE The purpose of this scoping review was to summarize the findings regarding emerging trends in health technologies powered by artificial intelligence and their influence on the following domains of nursing practice: administration, clinical care, policy and research. This article summarizes the findings from three research questions, examining how emerging trends will influence the roles and functions of nurses and influence compassionate nursing care over the next ten 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 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 and digital health technologies that incorporate artificial intelligence. Data was charted using a structured form and narratively summarized. RESULTS Overall, a total of 130 articles were retrieved from the scoping review for the three research questions that are the focus of this manuscript (117 from database sources and 13 from targeted websites). Common emerging artificial intelligent technologies discussed in the articles included robots (eg, socially assistive robots, humanoid robots, and mobility robots), predictive analytics, “smart homes”, and virtual care providers. The results indicated that artificial intelligence-driven technologies will increasingly be used in the coming years, and may have positive or negative influences on nursing practice depending on whether or not the proactive steps are taken prior to the implementation of these technologies. CONCLUSIONS The future of artificial intelligence in health care is imminent, and artificial intelligence has already begun to shape nursing roles, workflows and the nurse-patient relationship. As artificial intelligence becomes increasingly present in health care, the findings of this review will help nurse leaders plan for the integration of artificial intelligence into health care in a way that aligns with core nursing values such as compassionate care. INTERNATIONAL REGISTERED REPORT RR2-10.2196/17490
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