Integration of Nursing and Technology: A Bibliometric Analysis of Global Trends

Aydolu Algin Toros

doi:10.31127/tuje.1865313

Integration of Nursing and Technology: A Bibliometric Analysis of Global Trends

Abstract

The bibliometric characteristics of research in the field of nursing and technology were analyzed via the Biblioshiny interface in the R programming language. General trends and developments in the domain were identified through publications in the Web of Science (WoS) database, and findings were visualized and interpreted by bibliometric methods. The study examined the historical path of the field, author contributions, document volume, and the most frequently used keywords. Between 1980 and 2025, a total of 29,110 studies meeting the criteria were produced by 100,122 authors. A distinct geopolitical divergence was observed: while Asian institutions dominated publication volume, the United States retained leadership in citation impact. Wang Y. was the most prolific author. Central keywords defining the field were "nursing," "care," "health," and "technology." Robotic process automation and VR-based patient training, in advanced applications, demonstrate the capacity for personalization of evidence-based practices, rather than mechanizing technology.

Keywords

References

Aronsson, J., Elf, M., Warwick, P., LoMartire, R., & Anaker, A. (2025). The relevance of climate change and sustainability in nursing education: A cross-sectional study of students’ perspectives. BMC Nursing, 24, 834. https://doi:.org/10.1186/s12912-025-03285-5
Bárcenas-Villegas, D., Cáceres-Matos, R., & Vázquez-Santiago, S. (2025). Contribution of clinical nurses to hospital efficiency and economic sustainability: A systematic review. Journal of Nursing Management, Article 3332688, https://doi.org/10.1155/jonm/3332688
Özkurt, C. (2024). Interpretable AI analysis of chaos systems distribution in time series data from industrial robotics. Turkish Journal of Engineering, 8(4), 656-665. https://doi.org/10.31127/tuje.1471445
Koca, Y. B., & Aktepe, E. (2024). Effect of dimension reduction with PCA and machine learning algorithms on diabetes diagnosis performance. Turkish Journal of Engineering, 8(3), 447-456. https://doi.org/10.31127/tuje.1413087
Çetin, B., & Eroğlu, N. (2020). Hemşirelik bakımında teknolojinin yeri ve inovasyon [The place of technology and innovation in nursing care]. Acta Medica Nicomedia, 3(3), 120-126.
Şahin, D. (2025). Sağlık hizmetlerinde hasta güvenliği ve yapay zeka: Bibliyometrik bir analiz [Patient safety and artificial intelligence in healthcare services: A bibliometric analysis]. Electronic Journal of Social Sciences, 24(2), 764-782. https://doi.org/10.17755/esosder.1563082
Çalışkan, F., & Cayır, A. (2025). Technology and Nursing Education. Balkan Sağlık Bilimleri Dergisi, 4(1), 28-33.
Deshmukh, P., Karmore, B., Ingole, M., & Upreti, K. (2026). Designing Emotionally Adaptive Chatbots for Diverse Users: A User-Centered Human-AI Interface Framework. Turkish Journal of Engineering, 10(1), 1-12. https://doi.org/10.31127/tuje.1715271

Piwek, L., Ellis, D. A., Andrews, S., & Joinson, A. (2016). The rise of consumer health wearables: Promises and barriers. PLoS Medicine, 13(2), e1001953. https://doi.org/10.1371/journal.pmed.1001953
Topol, E. (2019). Deep medicine: How artificial intelligence can make healthcare human again. Basic Books.
Ismaılzadh, S., & Mahmoudıfar, Y. (2015). Role of information technology in nursing. Cumhuriyet Üniversitesi Fen Edebiyat Fakültesi Fen Bilimleri Dergisi, 36(3), 2863-2867.
Matcı, D. K., & Acar, I. (2019). Modelling and optimization of the exam invigilator assignment problem based on preferences. Turkish Journal of Engineering, 3(3), 140-148. ISSN 2587-1366, Turkey DOI: 10.31127/tuje.467003
Kruse, C. S., Mileski, M., & Moreno, J. (2017). Mobile health solutions for the aging population: A systematic narrative analysis. Journal of Telemedicine and Telecare, 23(4), 439-451. https://doi.org/10.1177/1357633X16649790
Ventola, C. L. (2014). Mobile devices and apps for health care professionals: Uses and benefits. Pharmacy and Therapeutics, 39(5), 356-364.
Aydin, G. O., Turan, N., & Kaya, N. (2017). Wearable Technology In Nursing. PressAcademia Procedia, 4(1), 80-83.
Fagerström, C., Tuvesson, H., Axelsson, L., & Nilsson, L. (2017). The role of ICT in nursing practice: An integrative literature review. Nursing Informatics, 232, 85-95. https://doi.org/10.1111/scs.12370
Topaz, M., & Pruinelli, L. (2017). Big data and nursing: Implications for the future. Studies in Health Technology and Informatics, 232, 165-171. https://doi.org/10.3233/978-1-61499-738-2-165
Çelik, S. Ş., Hikmet, N., & Ünal, İ. (2017). Health information technology in nursing: Views and attitudes of nurse managers. Hacettepe Sağlık İdaresi Dergisi, 20(4), 409-427.
Konukbay, D., Babacan, K., & Yıldız, D. (2023). Çocuk hemşirelerinin teknolojiye ilişkin tutum ve teknolojiyi kullanma durumlarının incelenmesi. Balıkesir Sağlık Bilimleri Dergisi, 12(1), 142-150.
Gera, A., Kumar, S., Sharma, R., & Kumar, A. (2025). Feature Selection Approach to Optimize Depression Detection from EHR Data. Turkish Journal of Engineering, 10(1), 116-128. https://doi.org/10.31127/10.31127/tuje.1763321
Birkle, C., Pendlebury, D. A., Schnell, J., & Adams, J., (2020). Web of Science as a data source for research on scientific and scholarly activity. Quantitative Science Studies, 1(1), 363-376. https://doi.org/10.1162/qss_a_00018
Jiang, X., Xie, M., Ma, L., Dong, L., & Li, D. (2023). International publication trends in the application of artificial intelligence in ophthalmology research: An updated bibliometric analysis. Annals of Translational Medicine, 11(5), 219. doi: 10.21037/atm-22-3773
Mikki, S. (2009). Google Scholar compared to Web of Science: A literature review. Nordic Journal of Information Literacy in Higher Education, 1(1), 42-51. https://doi.org/10.15845/noril.v1i1.10
Osareh, F. (1996). Bibliometrics, citation analysis and co-citation analysis: A review of literature I. Libri, 46, 149-158.
Newman, M. E. (2001). Scientific collaboration networks. II. Shortest paths, weighted networks, and centrality. Physical Review E, 64(1), 016132. https://doi.org/10.1103/PhysRevE.64.016132
Freeman, R. E. (2004). The stakeholder approach revisited. Zeitschrift für Wirtschafts-und Unternehmensethik, 5(3), 228-254. https://doi.org/10.1007/978-3-658-16205-4_55
Moral-Muñoz, J. A., Herrera-Viedma, E., Santisteban-Espejo, A., & Cobo, M. J. (2020). Software tools for conducting bibliometric analysis in science: An up-to-date review. El Profesional de la Información, 29(1), 1-20. https://doi.org/10.3145/epi.2020.ene.03
Alves, J., Azevedo, R., Encarnação, R., Marques, A., & Alves, P. (2025). Artificial intelligence to support clinical judgement in nursing: A scoping review protocol. DOI: 10.62741/ahrj.v2i4.73
Kirkland-Kyhn, H., Sengul, T., Karadag, A., Akyaz, D. Y., Cevizci, T., & Teleten, O. (2025). Exploring Nurses’ Acceptability and Readiness for Patient-centered Artificial Intelligence Systems in Pressure Injury Prevention. Advances in Skin & Wound Care, 38(9), 488-495. DOI: 10.1097/ASW.0000000000000348
Barrett, M. A., Allen, A., Vuong, V. T., Zhu, D., Rainey, A. J., McConnell, W. M., Kho, A. N., Salisbury, A., & French, D. D. (2025). Impact of an artificial intelligence and machine learning enhanced electronic health record system on quality measures in nursing homes: A difference in differences analysis. Journal of the American Medical Directors Association, 26(7), 105680. https://doi.org/10.1016/j.jamda.2025.105680
Pan, J. F., Dowding, D., Wong, D., Scott, A., & Zhao, Q. (2026). The Usability of Continuous Monitoring Devices With Deterioration Alerting Systems in Noncritical Care Units: Scoping Review. Interactive Journal of Medical Research, 15(1), e75713. https://doi.org/10.2196/75713
Stevens, E. R., Alfaro Arias, V., Luu, S., Lawrence, K., & Groom, L. (2025). Technology Integration to Support Nurses in an “Inpatient Room of the Future”: Qualitative Analysis. Journal of Medical Internet Research, 27, e68689. http://dx.doi.org/10.2196/68689
Comparcini, D., Simonetti, V., Tomietto, M., Pastore, F., Totaro, M., Ballerini, P., & Cicolini, G. (2025). The Relationship Between Nurses' Digital Health Literacy and Their Educational Levels, Professional Roles, and Digital Attitudes: A Cluster Analysis Based on a Cross‐Sectional Study. Journal of Clinical Nursing, 34(7), 2885-2897. https://doi.org/10.1111/jocn.17484
OECD. (2023). Main science and technology indicators. OECD Publishing.
Bayram, A., Bal, B., Chiappinotto, S., & Palese, A. (2026). Digital Ethics in Nursing: A Scoping Review. International Nursing Review, 73(1), e70141. https://doi.org/10.1111/inr.70141
Chen, Y., Ho, K. Y., Zong, X., Weng, Y., Yuan, C., & Yorke, J. (2025). The digital intelligent precise nursing framework: theory development in health recommender system. BMC nursing, 24(1), 1191. https://doi.org/10.1186/s12912-025-03830-2

Details

Primary Language

English

Subjects

Software Engineering (Other)

Journal Section

Research Article

Authors

Aydolu Algin Toros ^*
0000-0003-0376-114X
Türkiye

Publication Date

July 6, 2026

Submission Date

January 16, 2026

Acceptance Date

May 2, 2026

Published in Issue

Year 2026 Volume: 10 Number: 3

DOI

https://doi.org/10.31127/tuje.1865313

IZ

https://izlik.org/JA95YY77CL

Cite

RIS / Bibtex

APA

Algin Toros, A. (2026). Integration of Nursing and Technology: A Bibliometric Analysis of Global Trends. Turkish Journal of Engineering, 10(3), 893-899. https://doi.org/10.31127/tuje.1865313

AMA

1.Algin Toros A. Integration of Nursing and Technology: A Bibliometric Analysis of Global Trends. TUJE. 2026;10(3):893-899. doi:10.31127/tuje.1865313

Chicago

Algin Toros, Aydolu. 2026. “Integration of Nursing and Technology: A Bibliometric Analysis of Global Trends”. Turkish Journal of Engineering 10 (3): 893-99. https://doi.org/10.31127/tuje.1865313.

EndNote

Algin Toros A (July 1, 2026) Integration of Nursing and Technology: A Bibliometric Analysis of Global Trends. Turkish Journal of Engineering 10 3 893–899.

IEEE

[1]A. Algin Toros, “Integration of Nursing and Technology: A Bibliometric Analysis of Global Trends”, TUJE, vol. 10, no. 3, pp. 893–899, July 2026, doi: 10.31127/tuje.1865313.

ISNAD

Algin Toros, Aydolu. “Integration of Nursing and Technology: A Bibliometric Analysis of Global Trends”. Turkish Journal of Engineering 10/3 (July 1, 2026): 893-899. https://doi.org/10.31127/tuje.1865313.

JAMA

1.Algin Toros A. Integration of Nursing and Technology: A Bibliometric Analysis of Global Trends. TUJE. 2026;10:893–899.

MLA

Algin Toros, Aydolu. “Integration of Nursing and Technology: A Bibliometric Analysis of Global Trends”. Turkish Journal of Engineering, vol. 10, no. 3, July 2026, pp. 893-9, doi:10.31127/tuje.1865313.

Vancouver

1.Aydolu Algin Toros. Integration of Nursing and Technology: A Bibliometric Analysis of Global Trends. TUJE. 2026 Jul. 1;10(3):893-9. doi:10.31127/tuje.1865313