The DOI matches its Crossref record; 35 of the 37 references it cites were found in a registry or an index, and 1 are not checked yet.
Can nurses remain relevant in a technologically advanced future?
Open accessAbstract
Technological breakthroughs occur at an ever-increasing rate thereby revolutionizing human health and wellness care. Technological advancements have drastically changed the structure and organization of the healthcare industry. McKinsey Global Institute estimates that 800 million workers worldwide could be replaced by robots by the year 2030. There is already a robotic revolution happening in healthcare wherein robots have made tasks and procedures more efficient and safer. Locsin and Ito has addressed the threat to nursing practice with human nurses being replaced by humanoid robots. Routine nursing care dictated solely by prescribed procedures and accomplishment of nursing tasks would be best performed by machines. With the future practice of nursing in a technologically advanced future transcending the implementation of nursing actions to achieve predictable outcomes, how can human nurses remain relevant as practitioners of nursing? Nurses should be involved in deciding which aspects of their practice can be delegated to technology. Nurses should oversee the introduction of automated technology and artificial intelligence ensuring their practice to be more about the universal aspects of human care continuing under a novel system. Nursing education and nursing research will change to encompass a differentiated demand for professional nursing practice with, and not for, robots in healthcare.
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Citations
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Cited by
Sorted by citations
Ronquillo, C. E., Peltonen, L., Pruinelli, L., Chu, C. H., Bakken, S., Beduschi, A., Cato, K., Hardiker, N., Junger, A., Michalowski, M., et al. (2021) · Journal of Advanced Nursing · doi:10.1111/jan.14855 · Cited by 453
“As such, there are other calls for nursing: to take the driver's seat in determining which aspects of nursing care can be delegated and to be key actors in introducing AI technologies in health systems (Pepito & Locsin, 2019).”
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Booth, R. G., Strudwick, G., McBride, S. G., O’Connor, S., & López, A. L. S. (2021) · BMJ · doi:10.1136/bmj.n1190 · Cited by 369
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Background
Metadata
- Authors
- Pepito, J. A., & Locsin, R.
- Affiliations
- University of the Visayas (PH)
- Florida Atlantic University (US)
- Corresponding author
- Pepito, Joseph Andrew
- Venue
- International Journal of Nursing Sciences
- Publisher
- Elsevier BV
- Published
- 2019-01
- Volume
- 6
- Issue
- 1
- Pages
- 106-110
- ISSN
- 2096-6296 (ISSN-L)
- 2352-0132
- PMC
- PMC6608671
- OpenAlex
- W2895614216
- Cited by
- 221
- References
- 37
- Citations by year
- 2026: 30 · 2025: 39 · 2024: 36 · 2023: 36 · 2022: 23 · 2021: 26 · 2020: 21 · 2019: 8
- FWCI
- 21.76
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Licence
- Locations
- International Journal of Nursing Sciences (publishedVersion, cc-by-nc-nd)
- Europe PMC (PubMed Central) (publishedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Institutional Repositories DataBase (IRDB) (submittedVersion, cc-by-nc-nd)
- Topics
- Health Sciences › Health Professions › General Health Professions › Nursing Roles and Practices
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Health Sciences › Nursing › Research and Theory › Nursing education and management
- Keywords
- nursing practice, automation, humanoid robots, artificial intelligence, future of nursing, nursing education, nursing research, human care
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