Students’ Perceptions of Artificial Intelligence and Digital Health Technologies in Digital Health Systems Education
Dijital Sağlık Sistemleri Teknikerliği Öğrencilerinin Yapay Zekâ ve Dijital Sağlık Teknolojilerine Yönelik Algıları
The increasing prevalence of digital health technologies and artificial intelligence applications in healthcare has made it important to understand the perceptions and expectations of healthcare professionals training in this field regarding these technologies. The aim of this study is to determine the perceptions of students enrolled in the Digital Health Systems Technician programme regarding digital health systems, artificial intelligence and digital health technologies, their assessments of the contribution of these technologies to the quality of healthcare services, and their career expectations in the field of digital health. The research was conducted using a phenomenological design within the framework of a qualitative research approach. The study group consisted of 14 students (8 male, 6 female) enrolled in the Digital Health Systems Technician programme at a private university. Data were collected through semi-structured interviews and analysed using content analysis. The findings indicate that students regard digital health systems as a fundamental element that enhances the speed, efficiency and information management of healthcare services. Whilst the participants noted that artificial intelligence would make significant contributions, particularly in early diagnosis, big data analysis, clinical decision support and patient follow-up processes, they emphasised that this technology should be used as a tool to support healthcare professionals’ decision-making processes rather than as a system to replace them. The students also held the view that digital health systems improve the quality of healthcare services, support patient safety and facilitate rapid access to information. Furthermore, it was stated that data security and the protection of patient privacy are fundamental requirements for the sustainability of digital health applications. All participants indicated that they plan to work in the field of digital health after graduation and view this field as an important and constantly evolving career opportunity. In conclusion, the research reveals that students hold positive perceptions of digital health systems and artificial intelligence technologies, regard these technologies as a strategic element in the future of healthcare, and are strongly oriented towards pursuing a career in the field of digital health.
Dijital sağlık teknolojileri ve yapay zekâ uygulamalarının sağlık hizmetlerinde giderek yaygınlaşması, bu alanda yetişen sağlık profesyonellerinin söz konusu teknolojilere ilişkin algı ve beklentilerinin anlaşılmasını önemli hâle getirmiştir. Bu araştırmanın amacı, Dijital Sağlık Sistemleri Teknikerliği programında öğrenim gören öğrencilerin dijital sağlık sistemleri, yapay zekâ ve dijital sağlık teknolojilerine ilişkin algılarını, bu teknolojilerin sağlık hizmetlerinin kalitesine katkısına yönelik değerlendirmelerini ve dijital sağlık alanındaki kariyer beklentilerini belirlemektir. Araştırma, nitel araştırma yaklaşımı kapsamında fenomenoloji deseni kullanılarak yürütülmüştür. Çalışma grubunu bir vakıf üniversitesinin Dijital Sağlık Sistemleri Teknikerliği programında öğrenim gören 14 öğrenci (8 erkek, 6 kadın) oluşturmaktadır. Veriler yarı yapılandırılmış görüşmeler yoluyla toplanmış ve içerik analizi yöntemiyle çözümlenmiştir. Bulgular, öğrencilerin dijital sağlık sistemlerini sağlık hizmetlerinin hızını, verimliliğini ve bilgi yönetimini geliştiren temel bir unsur olarak değerlendirdiklerini göstermektedir. Katılımcılar, yapay zekânın özellikle erken tanı, büyük veri analizi, klinik karar desteği ve hasta takip süreçlerinde önemli katkılar sağlayacağını belirtirken, bu teknolojinin sağlık çalışanlarının yerini alacak bir sistemden ziyade onların karar verme süreçlerini destekleyen bir araç olarak kullanılması gerektiğini vurgulamıştır. Öğrenciler ayrıca dijital sağlık sistemlerinin sağlık hizmetlerinin kalitesini artırdığı, hasta güvenliğini desteklediği ve bilgiye hızlı erişimi kolaylaştırdığı görüşündedir. Bunun yanında veri güvenliği ve hasta mahremiyetinin korunmasının dijital sağlık uygulamalarının sürdürülebilirliği açısından temel bir gereklilik olduğu ifade edilmiştir. Katılımcıların tamamı mezuniyet sonrasında dijital sağlık alanında çalışmayı planladıklarını ve bu alanı sürekli gelişen önemli bir kariyer fırsatı olarak gördüklerini belirtmiştir. Sonuç olarak araştırma, öğrencilerin dijital sağlık sistemleri ve yapay zekâ teknolojilerine yönelik olumlu algılara sahip olduklarını, bu teknolojileri sağlık hizmetlerinin geleceğinde stratejik bir unsur olarak değerlendirdiklerini ve dijital sağlık alanında kariyer yapmaya güçlü biçimde yöneldiklerini ortaya koymaktadır.
Alhur, A. A., ve Alhashash, K. A. (2022). Investigating students’ perceptions of health informatics education: What action needs to be taken? International Journal of Education Teaching and Social Sciences, 2(2), 31–40. https://doi.org/10.47747/ijets.v2i2.684
Alowais, M., Rudd, G., Besa, V., Nazar, H., Shah, T., ve Tolley, C. (2023). Digital literacy in undergraduate pharmacy education: A scoping review. Journal of the American Medical Informatics Association, 31(3), 732–745. https://doi.org/10.1093/jamia/ocad223
Anderberg, P., Björling, G., Stjernberg, L., ve Bohman, D. (2019). Analyzing nursing students’ relation to electronic health and technology as individuals and students and in their future career (the eNursEd study): Protocol for a longitudinal study. JMIR Research Protocols, 8(10), e14643. https://doi.org/10.2196/14643
Baker, C., Maniam, N., Schnapp, B., Genes, N., Nielson, J. A., Mohan, V., Hersh, W., ve Slovis, B. H. (2022). A model curriculum for an emergency medicine residency rotation in clinical informatics. Journal of Education and Teaching in Emergency Medicine, 7(4). https://doi.org/10.5070/M57459214
Brunner, M., McGregor, D., Keep, M., Janssen, A., Spallek, H., Quinn, D., Jones, A., Tseris, E., Yeung, W., Togher, L., Solman, A., ve Shaw, T. (2018). An eHealth capabilities framework for graduates and health professionals: Mixed-methods study. Journal of Medical Internet Research, 20(5), e10229. https://doi.org/10.2196/10229
Car, L. T., Kyaw, B. M., Panday, R., van der Kleij, R., Chavannes, N. H., Majeed, A., ve Car, J. (2021). Digital health training programs for medical students: Scoping review. JMIR Medical Education, 7(3), e28275. https://doi.org/10.2196/28275
Cavite, F. A. M., Acob, J. R. U., ve Selasa, P. (2022). Plugging the gap and niching the NICHE: Nursing informatics competencies for higher education. Jurnal Info Kesehatan, 20(1), 101–116. https://doi.org/10.31965/infokes.vol20.iss1.731
Cham, K. M., Edwards, M.-L., Kruesi, L., Celeste, T., ve Hennessey, T. (2021). Digital preferences and perceptions of students in health professional courses at a leading Australian university: A baseline for improving digital skills and competencies in health graduates. Australasian Journal of Educational Technology, 37(4), 69–86. https://doi.org/10.14742/ajet.6622
Chartash, D., Rosenman, M. B., Wang, K., ve Chen, E. S. (2022). Informatics in undergraduate medical education: Analysis of competency frameworks and practices across North America. JMIR Medical Education, 8(3), e39794. https://doi.org/10.2196/39794
Chevan, J., Pak, S. S., Wilkinson, S. G., ve Toole, E. (2022). Building a foundation for health informatics content in physical therapy education through concept analysis and concept mapping. Journal of Physical Therapy Education, 37(1), 24–30. https://doi.org/10.1097/JTE.0000000000000267
Chikware, A. B., Roman, N. V., ve Davids, E. L. (2024). Improving health informatics competencies: A scoping review of the components of health informatics academic programs. SAGE Open, 14(4). https://doi.org/10.1177/21582440241293259
Creswell, J. W., ve Poth, C. N. (2018). Qualitative inquiry and research design: Choosing among five approaches (4th ed.). Thousand Oaks, CA: Sage.
Gray, K., Dattakumar, A., Maeder, A., ve Chenery, H. J. (2011). Educating future clinicians about clinical informatics: A review of implementation and evaluation cases. European Journal for Biomedical Informatics, 7(2). https://doi.org/10.24105/EJBI.2011.07.2.7
Hebert, S., Tietze, M., ve Gaines, C. (2025). A practical approach to integrating a telehealth course and health informatics skills into a curriculum for advanced-level nursing students. Journal of Nursing Education, 64(3), 196–199. https://doi.org/10.3928/01484834-20240423-01
Henricks, W. H., Karcher, D. S., Harrison, J. H., Sinard, J. H., Riben, M., Boyer, P. J., Plath, S., Thompson, A., ve Pantanowitz, L. (2016). Pathology informatics essentials for residents: A flexible informatics curriculum linked to Accreditation Council for Graduate Medical Education milestones. Journal of Pathology Informatics, 7(1), 27. https://doi.org/10.4103/2153-3539.185673
Jezrawi, R., Derka, S. Z., Warnick, E., Foley, J., Patel, V., Pavithran, N., Bernier, T., Wagner, N. L., Barr, N. G., Maccio, V. J., Leyland, M., ve Lokker, C. (2024). Partnering with students to develop a capstone for a graduate health informatics program. Applied Clinical Informatics, 15(5), 1080–1092. https://doi.org/10.1055/a-2412-3535
Joshi, A., Bruce, I., Amadi, C., ve Amatya, J. (2021). Developing evidence-based population health informatics curriculum: Integrating competency based model and job analysis. Online Journal of Public Health Informatics, 13(1). https://doi.org/10.5210/ojphi.v13i1.11517
Karasar, N. (2023). Bilimsel araştırma yöntemi (38. Baskı). Nobel Akademik Yayıncılık.
Lawrence, K., ve Levine, D. (2024). The digital determinants of health: A guide for competency development in digital care delivery for health professions trainees. JMIR Medical Education, 10, e54173. https://doi.org/10.2196/54173
Lee, K. H., Kim, M.-G., Lee, J., Lee, J., Cho, I., Choi, M., Han, H. W., ve Park, M. (2024). Empowering healthcare through comprehensive informatics education: The status and future of biomedical and health informatics education. Healthcare Informatics Research, 30(2), 113–126. https://doi.org/10.4258/hir.2024.30.2.113
Lincoln, Y. S., ve Guba, E. G. (1985). Naturalistic inquiry. Sage.
Lokmic‐Tomkins, Z., Raghunathan, K., Almond, H., Booth, R., McBride, S., Tietze, M., Honey, M., Procter, P., Peddle, M., ve McKenna, L. (2024). Integrating health informatics into pre-registration nursing education: Insights from a participatory workshop. Studies in Health Technology and Informatics. https://doi.org/10.3233/SHTI240125
Machleid, F., Kaczmarczyk, R., Johann, D., Balčiūnas, J., Atienza-Carbonell, B., von Maltzahn, F., ve Mosch, L. (2020). Perceptions of digital health education among European medical students: Mixed methods survey. Journal of Medical Internet Research, 22(8), e19827. https://doi.org/10.2196/19827
Merriam, S. B., ve Tisdell, E. J. (2016). Qualitative research: A guide to design and implementation (4th ed.). Jossey-Bass.
Nazeha, N., Pavagadhi, D., Kyaw, B. M., Car, J., Jiménez, G., ve Car, L. T. (2020). A digitally competent health workforce: Scoping review of educational frameworks. Journal of Medical Internet Research, 22(11), e22706. https://doi.org/10.2196/22706
Patel, J. S., Vo, H., Nguyen, A., Dzomba, B., ve Wu, H. (2022). A data-driven assessment of the U.S. health informatics programs and job market. Applied Clinical Informatics, 13(2), 327–338. https://doi.org/10.1055/s-0042-1743242
Patton, M. Q. (2015). Qualitative research ve evaluation methods (4th ed.). Sage.
Purkayastha, S., Patri, A. V., ve Yerrabandi, V. (2024). A skills assessment pathways-based program assessment approach in multidisciplinary graduate health informatics. Studies in Health Technology and Informatics. https://doi.org/10.3233/SHTI231153
Rees, G., Nowell, L., ve Risling, T. (2025). Shaping the future of digital health education in Canada: Prioritizing competencies for health care professionals using the Quintuple Aim. JMIR Medical Education, 11, e75904. https://doi.org/10.2196/75904
Seba, F., Isola, M., Mills, L., Zalake, M., ve Krive, J. (2025). Incorporating generative AI into a health informatics curriculum to build 21st century competencies: Multisite pre-post study. JMIR Medical Informatics, 13, e76507. https://doi.org/10.2196/76507
Silva, R. S. da, ve Spanhol, F. J. (2023). Digital competencies of nurses: An interdisciplinary approach. In Seven Editora Conference Proceedings. https://doi.org/10.56238/sevened2023.004-017
Sorrell, P., Thornton, S., Allen, E., Garabatos, Schmidt, L., McMaster, D., Chaplin-Cheyne, T., Bolland, S., Andrew, M., Buissink‐Smith, N., Cary, L., Costley, C., Andrea, V., Ker, P., Scott, G. I., Paterson, A., Honeyfield, J., Ravindran, R., Fraser, C., ... Benians, A. (2021). Untitled. Scope: Contemporary Research Topics (Learning and Teaching), 10. https://doi.org/10.34074/scop.4010
Trzaski, J., Kiefer, A., Myers, P., Bauserman, M., French, H., Reber, K., Cicalese, E., Lawrence, K., Schwarz, B., Payne, A. H., Angert, R., Gillam-Krakauer, M., Sharma, J., Bonachea, E., Vásquez, M., Chess, P. R., Dadiz, R., Enciso, J., Falck, A., ... Johnston, L. (2022). Essentials of Neonatal–Perinatal Medicine Fellowship: Careers in Neonatal–Perinatal Medicine. Journal of Perinatology, 42(8), 1135–1140. https://doi.org/10.1038/s41372-022-01315-7
Veikkolainen, P., Tuovinen, T., Jarva, E., Tuomikoski, A., Männistö, M., Pääkkönen, J., ... Reponen, J. (2023). eHealth competence building for future doctors and nurses: Attitudes and capabilities. International Journal of Medical Informatics, 169, 104912. https://doi.org/10.1016/j.ijmedinf.2022.104912
Vitiello, E., Kane, M. N., Hutto, A., ve Hall, A. (2020). Building for the future: The creation of a residency training track to foster innovation through clinical informatics in psychiatry. Journal of the American Medical Informatics Association, 27(11), 1747–1751. https://doi.org/10.1093/jamia/ocaa160
Wang, S., Yang, L., Li, M., Zhang, X., ve Tai, X. (2024). Medical education and artificial intelligence: Web of Science–based bibliometric analysis (2013–2022). JMIR Medical Education, 10, e51411. https://doi.org/10.2196/51411
Yıldırım, A., ve Şimşek, H. (2021). Sosyal bilimlerde nitel araştırma yöntemleri (12. Baskı). Seçkin Yayıncılık.
Zingg, A., Tovar, L. I., Witte, L., Koym, K., ve Godwin, K. M. (2025). Clinical informatics education to advance learning health systems: A scoping review. Learning Health Systems, 10(1). https://doi.org/10.1002/lrh2.70050

Copyright (c) 2026 Journal of Management and Educational Sciences
This work is licensed under a Creative Commons Attribution 4.0 International License.
Downloads
Article Information
- Article Type Articles
- Submitted June 29, 2026
- Published June 29, 2026
- Issue Vol. 5 No. 2 (2026): JMEDUSCI
- Section Articles


