Artificial Intelligence Applications in Community and Home Nursing Care: A Systematic Literature Review
DOI:
https://doi.org/10.35960/vm.v19i1.2235Keywords:
Artificial intelligence, Community nursing, Home care, Digital health, Nursing practiceAbstract
Healthcare systems face increasing demand for community and home nursing care due to population aging, chronic disease prevalence, and hospital resource limitations. Artificial intelligence (AI) has emerged as a supportive technology with potential to enhance nursing practice in decentralized care environments. This systematic literature review synthesizes recent evidence on AI applications in community and home nursing care. The review followed PRISMA 2020 guidelines and analyzed fifteen peer-reviewed studies published between 2022 and 2025. The findings indicate that machine learning–based predictive analytics and decision-support systems are the most frequently implemented technologies. AI applications primarily support risk prediction, remote monitoring, chronic disease management, and workflow optimization. Reported outcomes include improved clinical vigilance, enhanced care coordination, and increased operational efficiency. However, implementation challenges remain, including infrastructure readiness, digital literacy gaps, ethical governance concerns, and data privacy risks. Overall, AI functions as an augmentative tool that strengthens professional nursing judgment rather than replacing it. Sustainable integration in community and home nursing care requires digital competence, regulatory alignment, and human-centered implementation strategies.
References
Abuzaid, M. M., Elshami, W., & Fadden, S. M. (2022). Integration of Artificial Intelligence Into Nursing Practice. Health and Technology, 12(6), 1109–1115. https://doi.org/10.1007/s12553-022-00697-0.
Ahmed, S. K. (2024). Artificial Intelligence in Nursing: Current Trends, Possibilities and Pitfalls. Journal of Medicine, Surgery, and Public Health, 3, 100072. https://doi.org/10.1016/j.glmedi.2024.100072.
Badawy, W., Zinhom, H., & Shaban, M. (2025). Navigating Ethical Considerations in The Use of Artificial Intelligence for Patient Care: A Systematic Review. International Nursing Review, 72(3). https://doi.org/10.1111/inr.13059.
Chae, S., Davoudi, A., Song, J., Evans, L., Bowles, K. H., Mcdonald, M. V., Barrón, Y., Min, S. H., Oh, S., Scharp, D., Xu, Z., & Topaz, M. (2025). Developing A Clinical Decision Support Framework for Integrating Predictive Models Into Routine Nursing Practices in Home Health Care for Patients With Heart Failure. Journal of Nursing Scholarship, 57(1), 165–177. https://doi.org/10.1111/jnu.13030.
Chang, C., Jen, H., & Su, W. (2022). Trends in Artificial Intelligence in Nursing: Impacts on Nursing Management. Journal of Nursing Management, 30(8), 3644–3653. https://doi.org/10.1111/jonm.13770.
Choi, J., Lee, H., & Kim‐Godwin, Y. (2025). Decoding machine learning in nursing research: A scoping review of effective algorithms. Journal of Nursing Scholarship, 57(1), 119–129. https://doi.org/10.1111/jnu.13026.
El Arab, R. A., Al Moosa, O. A., Abuadas, F. H., & Somerville, J. (2025). The Role of AI in Nursing Education and Practice: Umbrella Review. Journal of Medical Internet Research, 27, e69881. https://doi.org/10.2196/69881.
Emami Zeydi, A., & Karkhah, S. (2024). Deep Learning During Nursing Care: An Evolving Perspective. Journal of Nursing Reports in Clinical Practice, 2(2), 52–53. https://doi.org/10.32598/JNRCP.2403.1037.
Hoelscher, S. H., & Pugh, A. (2025). N.U.R.S.E.S. Embracing Artificial Intelligence: A Guide to Artificial Intelligence Literacy for The Nursing Profession. Nursing Outlook, 73(4), 102466. https://doi.org/10.1016/j.outlook.2025.102466.
Karnehed, S., Larsson, I., Petersson, L., Erlandsson, L.-K., & Tyskbo, D. (2025). Navigating Artificial Intelligence In Home Healthcare: Challenges and Opportunities in Nursing Wound Care. BMC Nursing, 24(1), 660. https://doi.org/10.1186/s12912-025-03348-7.
Lifshits, I., & Rosenberg, D. (2024). Artificial Intelligence in Nursing Education: A Scoping Review. Nurse Education in Practice, 80, 104148. https://doi.org/10.1016/j.nepr.2024.104148.
Martinez-Ortigosa, A., Martinez-Granados, A., Gil-Hernández, E., Rodriguez-Arrastia, M., Ropero-Padilla, C., & Roman, P. (2023). Applications of Artificial Intelligence in Nursing Care: A Systematic Review. Journal of Nursing Management, 2023, 1–12. https://doi.org/10.1155/2023/3219127.
Mohammed, S. A. A. Q., Osman, Y. M. M., Ibrahim, A. M., & Shaban, M. (2025). Ethical and Regulatory Considerations in The Use of AI and Machine Learning in Nursing: A Systematic Review. International Nursing Review, 72(1). https://doi.org/10.1111/inr.70010.
Mohanasundari, S. K., Kalpana, M., Madhusudhan, U., Vasanthkumar, K., B, R., Singh, R., Vashishtha, N., & Bhatia, V. (2023). Can Artificial Intelligence Replace the Unique Nursing Role? Cureus. https://doi.org/10.7759/cureus.51150.
Namdar Areshtanab, H., Rahmani, F., Vahidi, M., Saadati, S. Z., & Pourmahmood, A. (2025). Nurses Perceptions And Use of Artificial Intelligence in Healthcare. Scientific Reports, 15(1), 27801. https://doi.org/10.1038/s41598-025-11002-0.
Ng, Z. Q. P., Ling, L. Y. J., Chew, H. S. J., & Lau, Y. (2022). The Role of Artificial Intelligence in Enhancing Clinical Nursing Care: A Scoping Review. Journal of Nursing Management, 30(8), 3654–3674. https://doi.org/10.1111/jonm.13425.
O’Connor, S., Yan, Y., Thilo, F. J. S., Felzmann, H., Dowding, D., & Lee, J. J. (2023). Artificial Intelligence in Nursing and Midwifery: A Systematic Review. Journal of Clinical Nursing, 32(13–14), 2951–2968. https://doi.org/10.1111/jocn.16478.
Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., Shamseer, L., Tetzlaff, J. M., Akl, E. A., Brennan, S. E., Chou, R., Glanville, J., Grimshaw, J. M., Hróbjartsson, A., Lalu, M. M., Li, T., Loder, E. W., Mayo-Wilson, E., McDonald, S., … Moher, D. (2021). The PRISMA 2020 Statement: an Updated Guideline for Reporting Systematic Reviews. BMJ, n71. https://doi.org/10.1136/bmj.n71.
Ramírez‐Baraldes, E., García‐Gutiérrez, D., & García‐Salido, C. (2025). Artificial Intelligence in Nursing: New Opportunities and Challenges. European Journal of Education, 60(1). https://doi.org/10.1111/ejed.70033.
Ren, Y., Yang, Y., Chen, J., Zhou, Y., Li, J., Xia, R., Yang, Y., Wang, Q., & Su, X. (2022). A Scoping Review of Deep Learning in Cancer Nursing Combined with Augmented Reality: The Era of Intelligent Nursing Ii Coming. Asia-Pacific Journal of Oncology Nursing, 9(12), 100135. https://doi.org/10.1016/j.apjon.2022.100135.
Rony, M. K. K., Kayesh, I., Bala, S. Das, Akter, F., & Parvin, Mst. R. (2024). Artificial Intelligence in Future Nursing Care: Exploring Perspectives of Nursing Professionals - A Descriptive Qualitative Study. Heliyon, 10(4), e25718. https://doi.org/10.1016/j.heliyon.2024.e25718.
Ruksakulpiwat, S., Phianhasin, L., Benjasirisan, C., Su, T., Riangkam, C., Thorngthip, S., Aldossary, H. M., Ahmed, B., Pongsuwun, K., & Angkaew, N. (2025). Artificial Intelligence in Nursing Research: A Systematic Review of Applications, Benefits, and Challenges. International Nursing Review, 72(3). https://doi.org/10.1111/inr.70080.
Thomas, J. (2025). Artificial Intelligence in Nursing Research: A Narrative Review of Transforming Clinical Practice, Enhancing Patient Outcomes, and Shaping Future Care. Journal of Nursing Reports in Clinical Practice, 3(4), 368–374. https://doi.org/10.32598/JNRCP.2410.1189.
Van Bulck, L., Couturier, R., & Moons, P. (2023). Applications of Artificial Intelligence for Nursing: Has a New Era Arrived? European Journal of Cardiovascular Nursing, 22(3), e19–e20. https://doi.org/10.1093/eurjcn/zvac097.
Ventura-Silva, J., Martins, M. M., Trindade, L. de L., Faria, A. da C. A., Pereira, S., Zuge, S. S., & Ribeiro, O. M. P. L. (2024). Artificial Intelligence in the Organization of Nursing Care: A Scoping Review. Nursing Reports, 14(4), 2733–2745. https://doi.org/10.3390/nursrep14040202.
Wangpitipanit, S., Lininger, J., & Anderson, N. (2024). Exploring The Deep Learning of Artificial Intelligence in Nursing: A Concept Analysis with Walker and Avant’s Approach. BMC Nursing, 23(1), 529. https://doi.org/10.1186/s12912-024-02170-x.
Wei, Q., Pan, S., Liu, X., Hong, M., Nong, C., & Zhang, W. (2025). The Integration of AI in Nursing: Addressing Current Applications, Challenges, and Future Directions. Frontiers in Medicine, 12. https://doi.org/10.3389/fmed.2025.1545420.
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Copyright (c) 2026 Berliana Rahmadhani, Purwono Purwono, Muhammad Ahmad Baballe, Isa Ali Ibrahim (Author)
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