Authors :
M. Mohanapriya; Abilash K; Harish N; Dhushiv S
Volume/Issue :
Volume 10 - 2025, Issue 3 - March
Google Scholar :
https://tinyurl.com/3xwva896
Scribd :
https://tinyurl.com/2msaaf4s
DOI :
https://doi.org/10.38124/ijisrt/25mar1463
Google Scholar
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Abstract :
intravenous (IV) therapy is a critical component of modern healthcare, ensuring efficient delivery of fluids,
medications, and nutrients. However, traditional IV systems rely on manual monitoring, leading to potential issues such as
delayed response to depletion, air embolism risks, and inaccurate flow rate adjustments. This paper presents an IoT-enabled
Smart Saline Bottle designed to enhance patient safety and healthcare efficiency.
The proposed system integrates sensors, microcontrollers, and wireless communication to continuously monitor saline
levels, flow rates, and patient-specific requirements. Real-time data is transmitted to medical staff via a cloud-based platform
or mobile application, enabling automated alerts for timely intervention. Additionally, AI-driven analytics can optimize IV
therapy, predicting depletion times and adjusting flow rates dynamically.
By leveraging Internet of Things (IoT) technologies, the smart saline bottle minimizes human error, improves resource
management in hospitals, and enhances patient care. This innovation represents a significant step toward intelligent,
automated healthcare systems, reducing workload for medical professionals and improving treatment outcomes.
References :
- J. Silva, E. Jeong, C. Lam, G. C. Valentine and D. M. Wilson, "A Neonatal Intravenous Monitor Prototype," in IEEE Sensors Letters, vol. 6, no. 11, pp. 1-4, Nov. 2022, Art no. 6004004, doi: 10.1109/LSENS .2022.3218770.
- S. Abdullah, K. Kanwal, A. Hafid and S. Difallah, "Low-cost BLE based intravenous monitoring and control infusion system," in 2023 International Conference on Advances in Electronics, Control and Communication Systems (ICAECCS), Blida, Algeria, 2023, pp. 1-5, doi: 10.1109/ICAECC S56710.2023.10104683.
- V. Arunvikas, S. Pravesh, J. Shafni and V. Sumitra, "Patient Monitoring System on Intravenous Fluid," in 2024 10th International Conference on Communication and Signal Processing (ICCSP), Melmaruvathur, India, 2024, pp. 1561-1565, doi: 10.1109/ICCSP6087 0.2024.10543827.
- R. T. Abbasi, A. Zahoor, L. Junaid, F. Amin and Z. U. Rehman, "Automatic Intravenous Drip Drop Counter and Controller," in 2023 3rd International Conference on Digital Futures and Transformative Technologies (ICoDT2), Islamabad, Pakistan, 2023, pp. 1-5, doi: 10.1109/ICoDT259378.2023.10325753.
- V. S, A. T, V. L, A. K. M, H. P. N and J. A. K, "Intelligent Intravenous Fluid Monitoring System For Health Surveillance Applications," in 2023 9th International Conference on Smart Structures and Systems (ICSSS), Chennai, India, 2023, pp. 1-5, doi: 10.1109/ICSSS58085.2023.10407101.
- S. E, K. R, A. K, D. S. D and A. A, "Intravenous Fluid TelemetrySystem," in 2023 9th International Conference on Advanced Computing and Communication Systems (ICACCS), Coimbatore, India, 2023, pp. 1401-1406, doi: 10.1109/ICACCS57 279.2023.10112675.
intravenous (IV) therapy is a critical component of modern healthcare, ensuring efficient delivery of fluids,
medications, and nutrients. However, traditional IV systems rely on manual monitoring, leading to potential issues such as
delayed response to depletion, air embolism risks, and inaccurate flow rate adjustments. This paper presents an IoT-enabled
Smart Saline Bottle designed to enhance patient safety and healthcare efficiency.
The proposed system integrates sensors, microcontrollers, and wireless communication to continuously monitor saline
levels, flow rates, and patient-specific requirements. Real-time data is transmitted to medical staff via a cloud-based platform
or mobile application, enabling automated alerts for timely intervention. Additionally, AI-driven analytics can optimize IV
therapy, predicting depletion times and adjusting flow rates dynamically.
By leveraging Internet of Things (IoT) technologies, the smart saline bottle minimizes human error, improves resource
management in hospitals, and enhances patient care. This innovation represents a significant step toward intelligent,
automated healthcare systems, reducing workload for medical professionals and improving treatment outcomes.