Internet of Things Enabled Nursing Education and Care: A Global Scoping Review of Evidence, Implementation Challenges, and Policy Implications

Glenn Ford Valdez

doi:10.58545/jrcnp.v4i1.616

Authors

Glenn Ford Valdez Department of Nursing Sciences College of Applied Medical Sciences, Shaqra University, Kingdom of Saudi Arabia https://orcid.org/0000-0002-2799-8216

DOI:

https://doi.org/10.58545/jrcnp.v4i1.616

Abstract

Purpose: To outline, evaluate, and integrate empirical and review literature provided by the requester on IoT, other smart-health technologies, and the digital policies influencing nursing education, clinical practice, and population health. Methods: Five-stage Arksey & O’Malley scoping review with Mattos, Levacs Refinements and PRISMA-ScR reporting. 16 full-text PDFs spanning publication years 2014-2024. Inclusion criteria: English, peer-reviewed, IoT, “Internet +” or other digital-transition technologies; relevance to nursing curricula, nursing services, and healthcare delivery or health-enabling smart cities. Results: Sixteen eligible records were identified: four quantitative primary studies, three cross-sectional surveys, one RCT, two engineering/architecture papers, two systematic reviews, one scoping review protocol, one narrative review, one meta-review of IoT definitions, one Macro-policy analysis of digital broadband policies, and one commentary, “Healthy Smart City.” Geographic publication clustering identified East Asia (7) and Europe (3). Substantial repetitive benefits included enhanced psychomotor competence, high intention to adopt IoT in practice, real-time decision support, and macro-level public health improvements. Barriers focused on interoperability, privacy, expense, and gaps in digital readiness. Conclusions: Learning and service outcomes from IoT-enabled pedagogies and care systems are positive, but practical evaluation and equity-focused implementation science are lacking. For increased adoption, cross-national reimbursement frameworks, revised curricula, and multi-disciplinary standards frameworks are essential.

Keywords:

IoT (Internet of Things), mart Nursing Education, Smart Health Technologies, Digital Transformation in Health

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References

Almutairi, M., & Sheldon, F. T. (2025). IoT–Cloud Integration Security: A Survey of Challenges, Solutions, and Directions. Electronics, 14(7), 1394. https://doi.org/10.3390/electronics14071394

Al-Rawashdeh, M., Keikhosrokiani, P., Belaton, B., Alawida, M., & Zwiri, A. (2024). Effective factors for the adoption of IoT applications in nursing care: A theoretical framework for smart healthcare. Journal of Building Engineering, 89, 109012. https://doi.org/10.1016/j.jobe.2024.109012

Al-Rawashed, M., Keikhosrokiani, P., Belaton, B., Alawida, M., & Zwiri, A. (2024). Effective factors for the adoption of IoT applications in nursing care: A theoretical framework for smart healthcare. Journal of Building Engineering, 89, 109012. https://doi.org/10.1016/J.JOBE.2024.109012

Arksey, H., & O’Malley, L. (2005). Scoping studies: towards a methodological framework. International Journal of Social Research Methodology, 8(1), 19–32. https://doi.org/10.1080/1364557032000119616

Bachmann, N., Tripathi, S., Brunner, M., & Jodlbauer, H. (2022). The Contribution of Data-Driven Technologies in Achieving the Sustainable Development Goals. Sustainability, 14(5), 2497. https://doi.org/10.3390/su14052497

Bodur, G., Gumus, S., & Gursoy, N. G. (2019). Perceptions of Turkish health professional students toward the effects of the internet of things (IOT) technology in the future. Nurse Education Today, 79, 98–104. https://doi.org/10.1016/j.nedt.2019.05.007

Chiang, C.-F., Hsu, F.-M., & Yeh, K.-H. (2018). Robust IoT-based nursing-care support system with smart bio-objects. BioMedical Engineering OnLine, 17(S2), 154. https://doi.org/10.1186/s12938-018-0582-5

Dicheva, N. K., Rehman, I. U., Anwar, A., Nasralla, M. M., Husamaldin, L., & Aleshaiker, S. (2023). Digital Transformation in Nursing Education: A Systematic Review on Computer-Aided Nursing Education Pedagogies, Recent Advancements and Outlook on the Post-COVID-19 Era. IEEE Access, 11, 135659–135695. https://doi.org/10.1109/ACCESS.2023.3337669

Fan, F. (2022). An Inquiry-Based Teaching Model for Nursing Professional Courses Based on Data Mining and Few-Shot Learning Technology. Computational Intelligence and Neuroscience, 2022, 1–9. https://doi.org/10.1155/2022/9441375

Farahani, B., Firouzi, F., & Chakrabarty, K. (2020). Healthcare IoT. In Intelligent Internet of Things (pp. 515–545). Springer International Publishing. https://doi.org/10.1007/978-3-030-30367-9_11

Habibzadeh, H., Dinesh, K., Rajabi Shishvan, O., Boggio-Dandry, A., Sharma, G., & Soyata, T. (2020). A Survey of Healthcare Internet of Things (HIoT): A Clinical Perspective. IEEE Internet of Things Journal, 7(1), 53–71. https://doi.org/10.1109/JIOT.2019.2946359

Jang, A., & Song, C. (2022). Internet of things platform technology used in undergraduate nursing student education: a scoping review protocol. BMJ Open, 12(4), e058556. https://doi.org/10.1136/bmjopen-2021-058556

Jayaraman, P. P., Yang, X., Yavari, A., Georgakopoulos, D., & Yi, X. (2017). Privacy preserving Internet of Things: From privacy techniques to a blueprint architecture and efficient implementation. Future Generation Computer Systems, 76, 540–549. https://doi.org/10.1016/J.FUTURE.2017.03.001

Kamel Boulos, M. N., & Al-Shorbaji, N. M. (2014). On the Internet of Things, smart cities and the WHO Healthy Cities. International Journal of Health Geographics, 13(1), 10. https://doi.org/10.1186/1476-072X-13-10

Kang, J. Y., Kong, Y. W., Kim, E. B., Kim, E. A., Park, S. J., Park, J., Seong, J. Y., Son, C. E., Lee, B. M., & Kim, Y. M. (2021). Relationships among nursing students’ recognition, perceived usefulness, and intention to accept IoT. . Korean Journal of Food & Health Convergence, 7(1).

Kang, S., Baek, H., Jung, E., Hwang, H., & Yoo, S. (2019). Survey on the demand for adoption of Internet of Things (IoT)-based services in hospitals: Investigation of nurses’ perception in a tertiary university hospital. Applied Nursing Research, 47, 18–23. https://doi.org/10.1016/j.apnr.2019.03.005

Laplante, P. A., Kassab, M., Laplante, N. L., & Voas, J. M. (2018). Building Caring Healthcare Systems in the Internet of Things. IEEE Systems Journal, 12(3), 3030–3037. https://doi.org/10.1109/JSYST.2017.2662602

Laplante, P. A., & Laplante, N. (2016). The Internet of Things in Healthcare: Potential Applications and Challenges. IT Professional, 18(3), 2–4. https://doi.org/10.1109/MITP.2016.42

Li, Y., Yu, W., Yang, B., & Liu, C. (2016). A comparison of the caring behaviours of nursing students and registered nurses: implications for nursing education. Journal of Clinical Nursing, 25(21–22), 3317–3325. https://doi.org/10.1111/jocn.13397

Liu, H., Wang, W., & Li, S. (2025). Spatio-temporal evolution and driving factors of the coupling and coordinated development of China’s digital economy and older adult care services. Frontiers in Public Health, 13. https://doi.org/10.3389/fpubh.2025.1490461

Martinez-Millana, A., Ibanez-Sanchez, G., & Traver, V. (2020). Cloud and Internet of Things Technologies for Supporting In-House Informal Caregivers: A Conceptual Architecture (pp. 1–28). https://doi.org/10.1007/978-3-030-30817-9_1

Mastour, H., Khoshgoftar, Z., Ahmady, S., & Sohrabi, S. (2025). Implementing an Internet of Things-based learning platform into medical education: Addressing educational challenges with innovative solutions. Medical Teacher, 47(8), 1262–1265. https://doi.org/10.1080/0142159X.2024.2445036

Mattos, S. M., Cestari, V. R. F., & Moreira, T. M. M. (2023). Scoping protocol review: PRISMA-ScR guide refinement. Rev Enferm UFPI, 12(1). https://doi.org/10.26694/reufpi.v12i1.3062

Meylani, R. (2024). Transforming Education with the Internet of Things: A Journey into Smarter Learning Environments. International Journal of Research in Education and Science, 10(1), 161–178. https://doi.org/10.46328/ijres.3362

Mieronkoski, R., Azimi, I., Rahmani, A. M., Aantaa, R., Terävä, V., Liljeberg, P., & Salanterä, S. (2017). The Internet of Things for basic nursing care—A scoping review. International Journal of Nursing Studies, 69, 78–90. https://doi.org/10.1016/j.ijnurstu.2017.01.009

Motta, R. C., Silva, V., & Travassos, G. H. (2019). Towards a more in-depth understanding of the IoT Paradigm and its challenges. Journal of Software Engineering Research and Development, 7, 3. https://doi.org/10.5753/jserd.2019.14

Pal, S., & Jadidi, Z. (2021). Protocol-Based and Hybrid Access Control for the IoT: Approaches and Research Opportunities. Sensors, 21(20), 6832. https://doi.org/10.3390/s21206832

Park, S. J., Subramaniyam, M., Kim, S. E., Hong, S., Lee, J. H., Jo, C. M., & Seo, Y. (2017). Development of the Elderly Healthcare Monitoring System with IoT, 309–315. https://doi.org/10.1007/978-3-319-41652-6_29

Skiba, D. J. (2013). The Internet of Things (IoT). Nursing Education Perspectives, 34(1), 63–64. https://doi.org/10.5480/1536-5026-34.1.63

Skiba, D. J. (2014). The Connected Age and Wearable Technology. Nursing Education Perspectives, 35(5), 346–347. https://doi.org/10.5480/1536-5026-35.5.346

Hassan Al-Taai, S. H., Kanber, H. A., & Mohammed Al-Dulaimi, W. A. (2023). The Importance of Using the Internet of Things in Education. International Journal of Emerging Technologies in Learning (IJET), 18(01), 19–39. https://doi.org/10.3991/ijet.v18i01.35999

Taryudi, T., Lindayani, L., Mutiar, A., & Purnama, H. (2022). Perceptions of Indonesian Nurses Toward the Application of the Internet of Things in the Future. KnE Life Sciences. https://doi.org/10.18502/kls.v7i2.10398

Tricco, A. C., Lillie, E., Zarin, W., O’Brien, K. K., Colquhoun, H., Levac, D., Moher, D., Peters, M. D. J., Horsley, T., Weeks, L., Hempel, S., Akl, E. A., Chang, C., McGowan, J., Stewart, L., Hartling, L., Aldcroft, A., Wilson, M. G., Garritty, C., … Straus, S. E. (2018). PRISMA Extension for Scoping Reviews (PRISMA-ScR): Checklist and Explanation. Annals of Internal Medicine, 169(7), 467–473. https://doi.org/10.7326/M18-0850

Varela-Aldás, J., Junta, C., Choque, E., & Palacios-Navarro, G. (2025). Influence of Higher Education on IoT Acceptance through Hands-On Learning. TEM Journal, 528–539. https://doi.org/10.18421/TEM141-47

Wang, Q.-L., Liu, L.-L., Liu, C.-R., Zhu, Q.-S., Ren, Z.-Y., Gang, T.-T., Zhou, C.-Y., Li, Q.-P., Chen, X., & Han, B.-R. (2023). ‘Internet+’ comprehensive nursing training course in the post-epidemic era—an exploration of the mixed teaching mode: a randomized trial. Frontiers in Medicine, 10. https://doi.org/10.3389/fmed.2023.1152732

Yan, J., Li, J., Li, X., & Liu, Y. (2023). Digital transition and the clean renewable energy adoption in rural family: evidence from Broadband China. Frontiers in Ecology and Evolution, 11. https://doi.org/10.3389/fevo.2023.1241410

Zhang, J., Shields, L., Ma, B., Yin, Y., Wang, J., Zhang, R., & Hui, X. (2022). The clinical learning environment, supervision and future intention to work as a nurse in nursing students: a cross-sectional and descriptive study. BMC Medical Education, 22(1), 548. https://doi.org/10.1186/s12909-022-03609-y

Zhao, J., Dong, K., & Taghizadeh-Hesary, F. (2023). Is income inequality a stumbling block to the global natural gas market? Energy Economics, 118, 106520. https://doi.org/10.1016/j.eneco.2023.106520