P. Vanaja, Anitha KC, Ivan Abhishek Prakash, Navdeep Singh, Akansha John, Renuka ., Khemchand ., Lovesampuranjot Kaur, Sanjiv Kumar, Shivanand H Honakeri, Dr Manjot Kaur, Gurdeep Singh | International Journal of Nursing Critical Care | Vol 12, Issue 01 | pp. 10-18 | ISSN: 2581-6209
Abstract
Intravenous (IV) infusion therapy is an essential component of modern healthcare, widely used for administering fluids, medications, and nutrients in clinical settings. However, traditional infusion monitoring methods rely heavily on manual observation by nursing staff, which increases the risk of human error, delayed interventions, and excessive workload. The integration of Artificial Intelligence (AI) into IV infusion systems has introduced a transformative approach to real-time monitoring, predictive analytics, and automated alert mechanisms. AI-enabled infusion monitoring devices utilize advanced technologies such as the Internet of Things (IoT), machine learning, cloud computing, and wireless communication to continuously track infusion parameters including flow rate, pressure, and volume. These systems enhance patient safety, improve nursing efficiency, and support evidence-based clinical decision-making. This article provides a comprehensive analysis of AI-enabled IV infusion monitoring devices, including their technological foundations, design and development, role of AI, impact on nursing care, clinical outcomes, challenges, and future directions.
Keywords: Artificial Intelligence, IV Infusion Monitoring, Nursing Care Optimization, IoT in Healthcare, Smart Infusion Devices, Patient Safety, Real-Time Monitoring, Clinical Decision Support.
🔒 This is a subscription article
Full text is available to subscribers and institutional members. Please choose an option below to access it.
SubscribePurchase this articleInstitutional / Login accessReferences
- Alam, M. M., Hamida, E. B., & Kaddoum, G. (2018). A survey on smart homes using Internet of Things. International Journal of Computer Applications, 182(47), 7–15.
- Ali, O., Shrestha, A., Soar, J., & Wamba, S. F. (2018). Cloud computing-enabled healthcare opportunities and challenges. Future Generation Computer Systems, 78, 700–710.
- Booth, R. G., Strudwick, G., McBride, S., O’Connor, S., & Solano López, A. L. (2021). How the nursing profession should adapt for a digital future. BMJ, 373, n1190.
- Buchanan, C., Howitt, M. L., Wilson, R., Booth, R. G., Risling, T., & Bamford, M. (2020). Predicted influences of artificial intelligence on nursing education. Nurse Education Today, 86, 104–106.
- Dash, S., Shakyawar, S. K., Sharma, M., & Kaushik, S. (2019). Big data in healthcare: Management, analysis and future prospects. Journal of Big Data, 6(1), 54.
- Davenport, T., & Kalakota, R. (2019). The potential for artificial intelligence in healthcare. Future Healthcare Journal, 6(2), 94–98.
- Esteva, A., Robicquet, A., Ramsundar, B., et al. (2019). A guide to deep learning in healthcare. Nature Medicine, 25(1), 24–29.
- Fernández-Caramés, T. M., & Fraga-Lamas, P. (2019). A review on IoT for healthcare systems. Sensors, 19(15), 3451.
- Food and Drug Administration (FDA). (2021). Artificial intelligence and machine learning in medical devices.
- Giuliano, K. K. (2018). Intravenous smart pumps: Usability issues. Critical Care Nursing Clinics, 30(2), 215–224.
- Gorski, L. A., Hadaway, L., Hagle, M. E., et al. (2021). Infusion therapy standards of practice. Journal of Infusion Nursing, 44(1S), S1–S224.
- Gubbi, J., Buyya, R., Marusic, S., & Palaniswami, M. (2016). Internet of Things (IoT): A vision. Future Generation Computer Systems, 29(7), 1645–1660.
- Gupta, R., Shukla, A., & Sharma, P. (2020). Wireless communication in healthcare. International Journal of Advanced Science and Technology, 29(5), 1234–1242.
- Hall, J. E., & Woodward, B. (2016). Intravenous therapy and patient safety. Nursing Standard, 30(34), 50–57.
- Hashem, I. A. T., Yaqoob, I., Anuar, N. B., et al. (2016). The rise of big data in cloud computing. Information Systems, 47, 98–115.
- He, J., Baxter, S. L., Xu, J., Xu, J., Zhou, X., & Zhang, K. (2019). The practical implementation of AI in healthcare. Nature Medicine, 25(1), 30–36.
- Islam, S. M. R., Kwak, D., Kabir, M. H., Hossain, M., & Kwak, K. S. (2020). The Internet of Things for health care. IEEE Access, 8, 678–708.
- (2019). Medical device safety and performance standards.
- Jiang, F., Jiang, Y., Zhi, H., et al. (2017). Artificial intelligence in healthcare. Stroke and Vascular Neurology, 2(4), 230–243.
- Kelly, C. J., Karthikesalingam, A., Suleyman, M., Corrado, G., & King, D. (2021). Key challenges for AI in healthcare. NPJ Digital Medicine, 4(1), 1–9.
- Kumar, P., Lee, H. J., & Lee, H. (2021). E-healthcare monitoring systems using IoT. Wireless Communications and Mobile Computing, 2021, 1–12.
- LeCun, Y., Bengio, Y., & Hinton, G. (2015). Deep learning. Nature, 521(7553), 436–444.
- Li, X., Xu, L. D., & Zhao, S. (2021). IoT-based smart healthcare systems. IEEE Transactions on Industrial Informatics, 17(2), 102–112.
- Lin, J., Yu, W., Zhang, N., Yang, X., Zhang, H., & Zhao, W. (2017). A survey on Internet of Things. IEEE Internet of Things Journal, 4(5), 1125–1142.
- Litjens, G., Kooi, T., Bejnordi, B. E., et al. (2017). Deep learning in medical image analysis. Medical Image Analysis, 42, 60–88.
- McBride, S., Tietze, M., Hanley, M. A., & Thomas, L. (2022). State of nursing informatics. Nursing Outlook, 70(2), 212–221.
- Melnyk, B. M., & Fineout-Overholt, E. (2019). Evidence-based practice in nursing.
- Miotto, R., Wang, F., Wang, S., Jiang, X., & Dudley, J. T. (2018). Deep learning for healthcare. Briefings in Bioinformatics, 19(6), 1236–1246.
- Ohashi, K., Dykes, P. C., McIntosh, K., et al. (2017). Evaluation of intravenous medication errors. Journal of Patient Safety, 13(3), 148–155.
- Patel, S., Park, H., Bonato, P., et al. (2022). A review of wearable sensors in healthcare. Journal of NeuroEngineering and Rehabilitation, 19(1), 1–23.
- Rajkomar, A., Dean, J., & Kohane, I. (2018). Machine learning in medicine. New England Journal of Medicine, 380, 1347–1358.
- Ray, P. P. (2018). A survey on IoT cloud platforms. Future Computing and Informatics Journal, 3(1), 1–19.
- Reddy, S., Allan, S., Coghlan, S., & Cooper, P. (2019). AI in healthcare: Ethical challenges. BMJ Global Health, 4(2), e001127.
- Sendak, M. P., D’Arcy, J., Kashyap, S., et al. (2020). A path for translation of ML into healthcare. NPJ Digital Medicine, 3(1), 1–7.
- Sethi, P., & Sarangi, S. R. (2017). IoT architecture and protocols. Journal of Electrical and Computer Engineering, 2017, 1–25.
- Shamout, F. E., Zhu, T., Sharma, P., et al. (2021). Machine learning for ICU outcomes. NPJ Digital Medicine, 4(1), 1–9.
- Taleb, T., Samdanis, K., Mada, B., et al. (2017). 5G-enabled healthcare. IEEE Wireless Communications, 24(5), 38–46.
- Ting, D. S. W., Pasquale, L. R., Peng, L., et al. (2017). AI in ophthalmology. Nature Medicine, 24(9), 1342–1350.
- Topol, E. (2019). High-performance medicine: AI in healthcare. Nature Medicine, 25(1), 44–56.
- Vincent, J. L., et al. (2018). Critical care patient monitoring. Lancet, 392(10144), 133–145.
- Westbrook, J. I., Li, L., Lehnbom, E. C., et al. (2018). Effectiveness of smart pumps. BMJ Quality & Safety, 27(3), 200–210.
- World Health Organization. (2019). Patient safety and infusion therapy guidelines.
- Yu, K. H., Beam, A. L., & Kohane, I. S. (2018). AI in healthcare future. JAMA, 320(11), 1101–1102.
- Zanella, A., Bui, N., Castellani, A., et al. (2017). Internet of Things overview. IEEE Internet of Things Journal, 1(1), 22–32.
How to cite this article
@article{VanajaP2026,
author = {P. Vanaja and Anitha KC and Ivan Abhishek Prakash and Navdeep Singh and Akansha John and Renuka . and Khemchand . and Lovesampuranjot Kaur and Sanjiv Kumar and Shivanand H Honakeri and Dr Manjot Kaur and Gurdeep Singh},
title = {AI-Enabled IV Infusion Monitoring Device for Real-Time Nursing Care Optimization},
journal = {International Journal of Nursing Critical Care},
year = {2026},
volume = {12},
number = {01},
pages = {10--18},
issn = {2581-6209},
url = {https://journalspub.com/publication/ijncc/article=24995}
}