AI-Enabled IV Infusion Monitoring Device for Real-Time Nursing Care Optimization

Volume: 12 | Issue: 01 | Year 2026 | Subscription
International Journal of Nursing Critical Care
Received Date: 04/06/2026
Acceptance Date: 04/16/2026
Published On: 2026-04-21
First Page: 10
Last Page: 18

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By: P. Vanaja, Anitha KC, Ivan Abhishek Prakash, Navdeep Singh, Akansha John, Renuka ., Khemchand ., Lovesampuranjot Kaur, Sanjiv Kumar, Shivanand H Honakeri, Dr Manjot Kaur, and Gurdeep Singh.

1. Nursing Tutor, College of Nursing, Madras Medical College, Chennai, Tamil Nadu
2. Former Principal, Tirumala College of Nursing, Nizamabad, Telangana. PhD from Himalayan University & Post-Doctoral Fellowship in Nursing Research from GINRA Foundation, Parul University, Gujarat
3. Professor, Apex College of Nursing, Varanasi, Uttar Pradesh
4. Principal, Indus College of Nursing, Khanda Kheri, Hansi, Haryana
5. Assistant Professor, Kamla Modern Nursing Institute, Jhansi, Uttar Pradesh
6. Professor, Faculty of Nursing, Desh Bhagat University, Mandi Gobindgarh, Punjab
7. Professor, Faculty of Nursing, Desh Bhagat University, Mandi Gobindgarh, Punjab
8. Principal, Faculty of Nursing, Desh Bhagat University, Mandi Gobindgarh, Punjab
9. Associate Professor, Shri Venkateshwara School of Nursing, Amroha, Uttar Pradesh
10. Assistant Professor, Government College of Nursing, KMCRI, Hubballi, Karnataka
11. Lecturer, Guru Ram Dass College Of Pharmacy, Malout, Punjab
12. GNM, Maa School of Nursing, Abohar, Punjab

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.

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Citation:

How to cite this article: P. Vanaja, Anitha KC, Ivan Abhishek Prakash, Navdeep Singh, Akansha John, Renuka ., Khemchand ., Lovesampuranjot Kaur, Sanjiv Kumar, Shivanand H Honakeri, Dr Manjot Kaur, and Gurdeep Singh AI-Enabled IV Infusion Monitoring Device for Real-Time Nursing Care Optimization. International Journal of Nursing Critical Care. 2026; 12(01): 10-18p.

How to cite this URL: P. Vanaja, Anitha KC, Ivan Abhishek Prakash, Navdeep Singh, Akansha John, Renuka ., Khemchand ., Lovesampuranjot Kaur, Sanjiv Kumar, Shivanand H Honakeri, Dr Manjot Kaur, and Gurdeep Singh, AI-Enabled IV Infusion Monitoring Device for Real-Time Nursing Care Optimization. International Journal of Nursing Critical Care. 2026; 12(01): 10-18p. Available from:https://journalspub.com/publication/ijncc/article=24995

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