Artificial Intelligence Literacy in Health Services: A Bibliometric Analysis

Ali Göde

doi:10.31067/acusaglik.1889387

Artificial Intelligence Literacy in Health Services: A Bibliometric Analysis

Abstract

Purpose: This study aims to examine the developmental trajectory, intellectual structure, and thematic orientations of the scientific literature on artificial intelligence (AI) literacy in health services using bibliometric analysis. It specifically seeks to identify the key concepts, authors, countries, and documents that have shaped the evolution of AI literacy research in this field. Methods: Bibliographic data consisting of English-language articles and review papers published up to 2025 and indexed in the Web of Science Core Collection were retrieved on 20 January 2026. Following predefined inclusion and exclusion criteria, a total of 158 publications were included in the analysis. The dataset was quantitatively analyzed using bibliometric and network-based methods, including co-authorship analysis, citation analysis, keyword co-occurrence analysis, and bibliographic coupling, with the support of VOSviewer software. Results: The findings reveal a substantial increase in AI literacy research in health services, particularly after 2023, with the number of publications rising from 6 in 2023 to 25 in 2024 and 124 in 2025. Co-authorship analysis shows that scholarly output is concentrated around a limited number of authors and countries. Citation analysis identifies studies by Boscardin (2024) and Esmaeilzadeh (2024) as central contributions shaping the intellectual core of the field. Keyword co-occurrence analysis highlights prominent concepts such as AI, AI literacy, medical education, nursing education, and ethics, indicating clustering around education, ethics, and digital health themes. Bibliographic coupling further demonstrates that the literature is thematically fragmented yet increasingly interconnected. Conclusion: This study demonstrates that AI literacy in health services is an emerging but rapidly advancing research area, emphasizing education, ethics, and clinical practice, and underscores the need for further interdisciplinary research.

Keywords

References

1. Sharma, A., Al-Haidose, A., Al-Asmakh, M., vd.. Integrating Artificial Intelligence into Biomedical Science Curricula: Advancing Healthcare Education. Clin. Pract.. 2024;14:1391–1403. DOI:10.3390/ clinpract14040112
2. Chatzichristos, C., Chatzichristos, G., Borremans, I., vd.. Bridging the AI-Literacy Gap in Health Care: Qualitative Analysis of the Flanders Case Study. J. Med. Internet Res.. 2025;27:e76709–e76709. DOI:10.2196/76709
3. Kumar, R., Singh, A., Kassar, A.S.A., vd.. Adoption challenges to artificial intelligence literacy in public healthcare: an evidence based study in Saudi Arabia. Front. Public Heal.. 2025;13:1–20. DOI:10.3389/ fpubh.2025.1558772
4. Sharma, A., ve Sharma, R.. Bibliometric exploration of artificial intelligence applications in healthcare: trends and future directions. J. Public Heal. Dev.. 2025;23:281–303. DOI:10.55131/ jphd/2025/230220
5. Akhtar, Z. Bin. Data‐Driven Healthcare Innovations: An Inclusive Investigative Exploration Into Artificial Intelligence (AI), Machine Learning (ML), Extended Reality (XR) and Internet of Things (IoT) Technologies. J. Eng.. 2025;2025:1–17. DOI:10.1049/tje2.70137
6. Prakash, R.V., Reddy, G.S., ve Balle, S.. Ethical Considerations in AI for Healthcare: Addressing Bias, Privacy, and Accountability in AI Models for Medical Decision-Making. Smart Comput. Emerg. Technol.. 2025;:10–20. DOI:10.56155/978-81-975670-0-1-2
7. Zhang, S., Diao, J., Ma, X., vd.. What qualities do teachers need in the era of artificial intelligence: Analysis based on international experience. Stem Educ. Rev.. 2024;2:1–9. DOI:10.54844/ stemer.2024.0557
8. Zhang, S., Ganapathy Prasad, P., ve Schroeder, N.L.. Learning About AI: A Systematic Review of Reviews on AI Literacy. J. Educ. Comput. Res.. 2025;63:1292–1322. DOI:10.1177/07356331251342081

9. Biagini, G.. Assessing the assessments: toward a multidimensional approach to AI literacy. Media Educ.. 2024;15:91–101. DOI:10.36253/ me-15831
10. Ng, D.T.K., Leung, J.K.L., Chu, K.W.S., vd.. AI Literacy: Definition, Teaching, Evaluation and Ethical Issues. Proc. Assoc. Inf. Sci. Technol.. 2021;58:504–509. DOI:10.1002/pra2.487
11. Ali, M.Y., ve Richardson, J.. AI literacy guidelines and policies for academic libraries: A scoping review. IFLA J.. 2025;51:588–599. DOI:10.1177/03400352251321192
12. Weikang, L., Shiyin, L., ve Xiaomo, Q.. The Impact of Artificial Intelligence Literacy on Doctoral Students’ Innovative Behaviour From the Perspective of Technology Affordance. Eur. J. Educ.. 2025;60:1–12. DOI:10.1111/ejed.70245
13. Subaşi, D.Ö., Akça Sümengen, A., Semerci, R., vd.. Paediatric nurses’ perspectives on artificial intelligence applications: A cross‐sectional study of concerns, literacy levels and attitudes. J. Adv. Nurs.. 2025;81:1353–1363. DOI:10.1111/jan.16335
14. Saeidnia, H.R., Hosseini, E., Abdoli, S., vd.. Unleashing the power of AI: a systematic review of cutting-edge techniques in AI-enhanced scientometrics, webometrics and bibliometrics. Libr. Hi Tech. 2025;43:1292–1314. DOI:10.1108/LHT-10-2023-0514
15. Passas, I.. Bibliometric Analysis: The Main Steps. Encyclopedia. 2024;4:1014–1025. DOI:10.3390/encyclopedia4020065
16. Kara Çiğdem, A., Dikmen, U., ve Özkan, S.. An Overview of Bibliometric Analysis. Turkey Heal. Lit. J.. 2024;4:112–116
17. Dereli, A.B.. Vosviewer ile Bibliyometrik Analiz. Communicata. 2024;:1–7. DOI:10.32952/communicata.1517725
18. Boscardin, C.K., Gin, B., Golde, P.B., vd.. ChatGPT and Generative Artificial Intelligence for Medical Education: Potential Impact and Opportunity. Acad. Med.. 2024;99:22–27. DOI:10.1097/ ACM.0000000000005439
19. Esmaeilzadeh, P.. Challenges and strategies for wide-scale artificial intelligence (AI) deployment in healthcare practices: A perspective for healthcare organizations. Artif. Intell. Med.. 2024;151:102861. DOI:10.1016/j.artmed.2024.102861
20. Sumengen, A.A., Ozcevik Subasi, D., ve Cakir, G.N.. Nursing students’ attitudes and literacy toward artificial intelligence: a cross-sectional study. Teach. Learn. Nurs.. 2025;20:e250–e257. DOI:10.1016/j. teln.2024.10.022
21. Boztepe, H., Akdeniz Kudubeş, A., Semerci Şahin, R., vd.. Examining the relationship between nursing students’ readiness, literacy and attitudes toward medical artificial intelligence. Nurse Educ. Pract.. 2025;88:104568. DOI:10.1016/j.nepr.2025.104568
22. Wood, E.A., Ange, B.L., ve Miller, D.D.. Are We Ready to Integrate Artificial Intelligence Literacy into Medical School Curriculum: Students and Faculty Survey. J. Med. Educ. Curric. Dev.. 2021;8:1–5. DOI:10.1177/23821205211024078
23. Charow, R., Jeyakumar, T., Younus, S., vd.. Artificial Intelligence Education Programs for Health Care Professionals: Scoping Review. JMIR Med. Educ.. 2021;7:1–22. DOI:10.2196/31043
24. Brauner, P., Hick, A., Philipsen, R., vd.. What does the public think about artificial intelligence?—A criticality map to understand bias in the public perception of AI. Front. Comput. Sci.. 2023;5:1113903. DOI:10.3389/fcomp.2023.1113903
25. Sümer‐Dodur, H.M.. Special Education Pre‐Service Teachers’ Conscientiousness and Their Attitudes Towards Artificial Intelligence: The Mediating Role of AI Literacy and AI Anxiety. Eur. J. Educ.. 2025;60:1–10. DOI:10.1111/ejed.70276
26. Salhab, R.. AI Literacy across Curriculum Design: Investigating College Instructor’s Perspectives. Online Learn.. 2024;28:1–8. DOI:10.24059/olj.v28i2.4426
27. Zhou, M., ve Peng, S.. The Usage of AI in Teaching and Students’ Creativity: The Mediating Role of Learning Engagement and the Moderating Role of AI Literacy. Behav. Sci. (Basel).. 2025;15:1–17. DOI:10.3390/bs15050587
28. Barba, P. De, Lodge, J., Fawns, T., vd.. Supporting students to develop artificial intelligence literacy. Ascilite Publ.. 2024;15:162–163. DOI:10.14742/apubs.2024.1199
29. Kim, S., Jang, Y., Kim, W., vd.. Why and What to Teach: AI Curriculum for Elementary School. Proc. AAAI Conf. Artif. Intell.. 2021;35:15569 15576. DOI:10.1609/aaai.v35i17.17833
30. Wang, K., Cui, W., ve Yuan, X.. Artificial Intelligence in Higher Education: The Impact of Need Satisfaction on Artificial Intelligence Literacy Mediated by Self-Regulated Learning Strategies. Behav. Sci. (Basel).. 2025;15:1–24. DOI:10.3390/bs15020165

Details

Primary Language

English

Subjects

Health Care Administration, Health Services and Systems (Other)

Journal Section

Research Article

Authors

Ali Göde ^*
0000-0002-6865-6298
Türkiye

Publication Date

June 8, 2026

Submission Date

February 14, 2026

Acceptance Date

May 8, 2026

Published in Issue

Year 2026 Volume: 17 Number: April, May, June 2026

DOI

https://doi.org/10.31067/acusaglik.1889387

IZ

https://izlik.org/JA66CY99AA

Cite

RIS / Bibtex

APA

Göde, A. (2026). Artificial Intelligence Literacy in Health Services: A Bibliometric Analysis. Acıbadem Üniversitesi Sağlık Bilimleri Dergisi, 17(April, May, June 2026). https://doi.org/10.31067/acusaglik.1889387

AMA

1.Göde A. Artificial Intelligence Literacy in Health Services: A Bibliometric Analysis. Acibadem Univ Saglik Bilim Derg. 2026;17(April, May, June 2026). doi:10.31067/acusaglik.1889387

Chicago

Göde, Ali. 2026. “Artificial Intelligence Literacy in Health Services: A Bibliometric Analysis”. Acıbadem Üniversitesi Sağlık Bilimleri Dergisi 17 (April, May, June 2026). https://doi.org/10.31067/acusaglik.1889387.

EndNote

Göde A (June 1, 2026) Artificial Intelligence Literacy in Health Services: A Bibliometric Analysis. Acıbadem Üniversitesi Sağlık Bilimleri Dergisi 17 April, May, June 2026

IEEE

[1]A. Göde, “Artificial Intelligence Literacy in Health Services: A Bibliometric Analysis”, Acibadem Univ Saglik Bilim Derg, vol. 17, no. April, May, June 2026, June 2026, doi: 10.31067/acusaglik.1889387.

ISNAD

Göde, Ali. “Artificial Intelligence Literacy in Health Services: A Bibliometric Analysis”. Acıbadem Üniversitesi Sağlık Bilimleri Dergisi 17/April, May, June 2026 (June 1, 2026). https://doi.org/10.31067/acusaglik.1889387.

JAMA

1.Göde A. Artificial Intelligence Literacy in Health Services: A Bibliometric Analysis. Acibadem Univ Saglik Bilim Derg. 2026;17. doi:10.31067/acusaglik.1889387.

MLA

Göde, Ali. “Artificial Intelligence Literacy in Health Services: A Bibliometric Analysis”. Acıbadem Üniversitesi Sağlık Bilimleri Dergisi, vol. 17, no. April, May, June 2026, June 2026, doi:10.31067/acusaglik.1889387.

Vancouver

1.Ali Göde. Artificial Intelligence Literacy in Health Services: A Bibliometric Analysis. Acibadem Univ Saglik Bilim Derg. 2026 Jun. 1;17(April, May, June 2026). doi:10.31067/acusaglik.1889387