IoT and Cloud-Based Automated Saline Fluid Control System for Intravenous Therapy

Intravenous (IV) therapy is a vital medical procedure for managing fluid levels and delivering medications directly into the bloodstream. However, traditional IV systems rely heavily on continuous manual monitoring, leading to inefficiencies and a higher risk of human error, particularly in resource-limited healthcare settings. This paper presents an innovative IoT-enabled automated saline fluid control system aimed at improving patient care and reducing the workload on medical staff. The system integrates advanced sensors, a NodeMCU microcontroller, and cloud-based data storage via ThingSpeak to enable real-time monitoring and precise control of saline levels. A servo motor is used to automatically stop the saline flow when critical thresholds are reached, preventing complications such as reverse blood flow and air embolisms. By combining automation, remote monitoring, and data-driven analytics, this solution enhances the safety and efficiency of IV therapy. It minimizes the need for human intervention, offers valuable insights to healthcare providers, and provides a cost-effective, scalable alternative for hospitals and clinics globally.

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Publication Details

Published
2025-04-05
DOI
https://doi.org/10.1109/devic63749.2025.11012259
Citations
1
Primary Topic
Intravenous Infusion Technology and Safety
Type
article
Field-Weighted Citation Impact
0.67
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IoT and Cloud-Based Automated Saline Fluid Control System for Intravenous Therapy

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article

IoT and Cloud-Based Automated Saline Fluid Control System for Intravenous Therapy

Someet Singh, Nagendar Yamsani, Ashish Singh Chauhan, Praveen Kumar Malik, Abdul Rahim, Veena Bharti
article en
1 citations

Abstract

Intravenous (IV) therapy is a vital medical procedure for managing fluid levels and delivering medications directly into the bloodstream. However, traditional IV systems rely heavily on continuous manual monitoring, leading to inefficiencies and a higher risk of human error, particularly in resource-limited healthcare settings. This paper presents an innovative IoT-enabled automated saline fluid control system aimed at improving patient care and reducing the workload on medical staff. The system integrates advanced sensors, a NodeMCU microcontroller, and cloud-based data storage via ThingSpeak to enable real-time monitoring and precise control of saline levels. A servo motor is used to automatically stop the saline flow when critical thresholds are reached, preventing complications such as reverse blood flow and air embolisms. By combining automation, remote monitoring, and data-driven analytics, this solution enhances the safety and efficiency of IV therapy. It minimizes the need for human intervention, offers valuable insights to healthcare providers, and provides a cost-effective, scalable alternative for hospitals and clinics globally.

Lovely Professional University (IN), Uttaranchal University (IN)
Openalex Percentile: Top 31%
Intravenous Infusion Technology and Safety
0.67
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IoT and Cloud-Based Automated Saline Fluid Control System for Intravenous Therapy — Someet Singh, Nagendar Yamsani, et al. · (2025) | TGRS Research Map | TGRS