The problem Real time IV Fluid Monitoring with Alert System solves

Intravenous (IV) fluid administration in hospitals is largely monitored manually by nursing staff, requiring frequent physical checks of IV fluid levels. In busy clinical environments, this manual process is time-consuming and prone to human error. When IV bags are not replaced on time, it can lead to air embolism, blood backflow, infusion interruptions, patient discomfort, and increased infection risk. Additionally, over-infusion or under-infusion due to improper monitoring can negatively affect patient treatment outcomes. Continuous manual monitoring also increases staff workload and stress, especially in high-patient-volume settings. Existing automated IV monitoring systems are often expensive, complex, and inaccessible to small clinics and rural healthcare facilities. This project addresses these issues by providing an affordable, automated, real-time IV fluid monitoring and alert system that ensures timely intervention, improves patient safety, and reduces the burden on healthcare staff.

Challenges we ran into

Challenges Faced During the Project

Accurate Weight Measurement
Calibrating the load cell to detect small and continuous changes in IV fluid weight was challenging. Minor vibrations, bag movement, and environmental disturbances affected accuracy.

Sensor Drift and Noise
Load cells are sensitive to temperature changes and electrical noise, which caused fluctuating readings and required repeated filtering and calibration.

Converting Weight to Fluid Volume
Translating weight data into an accurate remaining fluid percentage was complex due to variations in IV bag size, fluid density, and tubing weight.

Threshold Optimization
Setting the correct alert threshold (e.g., 10%) was critical. Too early caused unnecessary alerts, while too late increased patient risk.

Power Stability Issues
Ensuring uninterrupted operation during power fluctuations or outages was a concern, especially for continuous real-time monitoring.

Wireless Connectivity Reliability
Maintaining stable Wi-Fi/Bluetooth communication for real-time alerts was difficult in environments with weak or inconsistent network coverage.

False Alerts Reduction
Sudden bag movement or nurse handling sometimes triggered false alerts, requiring logic refinement and delay mechanisms.

Hardware Mounting Constraints
Designing a secure and universal mounting system for different IV stands and bag sizes without disturbing normal clinical workflow was challenging.

Cost vs Performance Trade-off
Balancing affordability with reliable components was difficult, as high-precision sensors increase cost while low-cost alternatives reduce accuracy.

Limited Clinical Testing
Testing the system in real hospital environments was restricted, so most validations were done through simulations and controlled setups.