Artificial intelligence and robot nurses: from nurse managers' perspective: a descriptive cross‐sectional study
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AIM: This research was planned to identify nurse managers' opinions on artificial intelligence and robot nurses. BACKGROUND: As the concepts of artificial intelligence and robot nurses are becoming widespread in Turkey, nurse managers are expected to guide and cooperate with nurses in the future in regard to these technologies. METHODS: The sample of the study consisted of 326 manager nurses, who were reached via the online questionnaire during the period of September to November 2021. A Nurse Managers Information Form and a Question Form on Artificial Intelligence and Robot Nurses were used to collect data. Data in this cross-sectional descriptive study were collected between September 2021 and November 2021 by the online survey method. The descriptive statistics of the data were analysed with numbers and percentages. The difference between the knowledge of artificial intelligence and robot nurses and demographic characteristics was analysed with the chi-square test. RESULTS: According to the findings, 66.9% of the nurse managers reported having heard the concepts of artificial intelligence and robot nurses previously. 67.2% stated that they thought that robot nurses would benefit the nursing profession, but 86.2% voiced disbelief that robots would replace nurses. CONCLUSIONS: The majority of the participating nurse managers reported that artificial intelligence and robot nurses would not replace nurses but would be beneficial for nurses and would reduce their workload. IMPLICATIONS FOR NURSING MANAGEMENT: It should be ensured that the nurse managers plan the areas in the hospital where artificial intelligence and robot nurses will be used and determine the possible risks. Awareness should be increased with in-service trainings, and patient safety and ethical problems regarding the use of artificial intelligence and robot nurses should be identified.
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Participants were dedicated to delivering compassionate care in the face of technological advancements, aligning with studies advocating AI integration with patient-centered values.
“Their unwavering dedication to delivering compassionate care in the face of technological advancements aligns with studies advocating for the integration of AI in alignment with patient-centered values [68].”
From Artificial intelligence in future nursing care: exploring perspectives of nursing professionals - a descriptive qualitative study (2024) · cites this paper as [68]
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Alnomasy, N., Pasay-an, E. A., Mostoles, R., Pangket, P. P., Alrashedi, H., Hobensack, M., Vyas, P., Uy, M. M., Sacgaca, L. P., Gonzales, A., et al. (2026) · Nursing Forum · doi:10.1155/nuf/7709522
Hirsikorpi, M., Hammarén, M., Jarva, E., & Kanste, O. I. (2026) · Health Care Management Review · doi:10.1097/hmr.0000000000000510
A tripartite framework for nursing artificial intelligence ethics: A scoping review
Marquard, J. L., Fink, S., Yip, W., Feldmann, A., Kim, C., Lalich, M. B., & Delaney, C. W. (2026) · Nursing Outlook · doi:10.1016/j.outlook.2026.102908
Robots in Nursing: A Qualitative Study of the Views of Nurses and Nurse Leaders
Strachan‐Hall, E., Greenway, K., & Aveyard, H. (2026) · Journal of Advanced Nursing · doi:10.1111/jan.70797
- Authors
- Ergin, E., Karaarslan, D., Şahan, S., & Çınar Yücel, Ş.
- Affiliations
- Department of Nursing Fundamentals, Faculty of Health Sciences İzmir Bakırcay University İzmir Turkey
- Manisa Celal Bayar University (TR)
- Bakırçay Üniversitesi (TR)
- Department of Fundamentals Nursing, Nursing Faculty Ege University İzmir Turkey
- Venue
- Journal of Nursing Management
- Publisher
- Wiley
- Published
- 2022-05-16
- Volume
- 30
- Issue
- 8
- Pages
- 3853-3862
- ISSN
- 0966-0429 (ISSN-L)
- 1365-2834
- OpenAlex
- W4224940925
- Cited by
- 70
- References
- 41
- Citations by year
- 2026: 21 · 2025: 25 · 2024: 20 · 2023: 3 · 2022: 1
- FWCI
- 3.68
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Journal of Nursing Management (publishedVersion, other-oa)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Health Sciences › Nursing › Research and Theory › Nursing education and management
- Social Sciences › Safety Research › Ethics and Social Impacts of AI
- Keywords
- artificial intelligence, nurse managers, nursing workload, nursing management, patient safety, ethics of AI in healthcare, in-service training
- MeSH terms
- Artificial Intelligence, Attitude of Health Personnel, Cross-Sectional Studies, Humans, Nurse Administrators, Surveys and Questionnaires, Robotics
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