Can artificial intelligence and robotic nurses replace operating room nurses? The quasi-experimental research
Open accessAbstract
Operating room nurses, who have an important place in the professional healthcare team, should be able to use technology effectively and adapt to innovations. This study is expected to shed light on how effective the development of robotic technologies and artificial intelligence and their integration into operating room nursing will be in fulfilling the requirements of contemporary nursing philosophy. This study was designed as a single group pre- and post-test quasi-experimental study. The quasi-experimental (pretest-posttest) research design was utilized to conduct the study in a Training and Research Hospital in Western Turkey. The nurses (n = 35) working in the operating room of the aforementioned hospital were included in the study. In this study, we aimed to determine whether operating room nurses experienced anxiety due to the use of artificial intelligence and robotic nurses, and the effectiveness of the training given to them in order to raise their awareness. The following three tools were used for data collection: The Nurses' Descriptive Characteristics Form, Artificial Intelligence Knowledge Questionnaire, and Artificial Intelligence Anxiety Scale. Data extraction and analysis were performed in a narrative and tabular way. According to this study, the training given to the operating room nurses significantly increased their knowledge levels about artificial intelligence and robotic nurses, and increased their artificial intelligence- and robotic nurse-related anxiety significantly (p < 0.05). The participating operating room nurses experienced limitations regarding current information, training programs and learning opportunities on robotic surgery. We recommend that the operating room nurses should be provided with trainings on artificial intelligence technologies and robotic nurses, and that they should be enabled to use these information technologies regarding future technologies actively.
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Participants were ready to embrace novel technologies and challenge traditional norms, mirroring research advocating active nursing involvement in shaping future healthcare.
“Their readiness to embrace novel technologies and challenge traditional norms mirrors research advocating for active nursing involvement in shaping the future of healthcare [73].”
From Artificial intelligence in future nursing care: exploring perspectives of nursing professionals - a descriptive qualitative study (2024) · cites this paper as [73]
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References 29 · Cited by 55
Research works printed but not linked: 3
- [6]WHO (2019) WHO guideline: recommendations on digital interventions for health system strengthening [11.08.2022]. Available from: https://www.who.int/reproductivehealth/publications/digital-interventions-health-system-strengthening/en/. Accessed 11 Aug 2022. 31162915
- [10]Şendir M Şimşekoğlu N Abdulsamed K Sümer K Nursing in future technology university of health sciences journal of Nursing 2019 1 3 209 214
- [19]Jacob MG, Li Y-T, Wachs JP (2012) Gestonurse: a multimodal robotic scrub nurse. Proceedings of the seventh annual ACM/IEEE international conference on Human-Robot Interaction
- Authors
- Ergin, E., Karaarslan, D., Şahan, S., & Bingöl, Ü.
- Affiliations
- Manisa Celal Bayar University (TR)
- Bakırçay Üniversitesi (TR)
- Venue
- Journal of Robotic Surgery
- Published
- 2023-03-31
- Volume
- 17
- Issue
- 4
- Pages
- 1847-1855
- ISSN
- 1863-2483 (ISSN-L)
- 1863-2491
- PMC
- PMC10066009
- OpenAlex
- W4362471466
- Cited by
- 55
- References
- 29
- Citations by year
- 2026: 15 · 2025: 21 · 2024: 15 · 2023: 3 · 2022: 1
- FWCI
- 2.15
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Journal of Robotic Surgery (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Health Sciences › Nursing › Leadership and Management › Healthcare Education and Workforce Issues
- Health Sciences › Nursing › Research and Theory › Nursing education and management
- Keywords
- artificial intelligence, operating room nurses, nurse anxiety, robotic surgery, nursing training, technology adoption in nursing, nursing workforce
- MeSH terms
- Artificial Intelligence, Humans, Nurses, Operating Rooms, Robotic Surgical Procedures
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