IoT Based Prototype for Patient Monitoring and Medical Infusion Intravenously

Authors

  • Aparna Devaraj
  • Ann Sunny
  • Rana Abdul Rasheed
  • Shifa Thasneem
  • Minilal M.

Keywords:

ESP32, Healthcare technology, Internet of thing (IoT), L293D, Sensors

Abstract

Our ground-breaking "IoT Based Prototype for Patient Monitoring and Medical Infusion Intravenously" project represents a significant advancement in healthcare technology. New capabilities are introduced when IoT technology is combined with IV set and patient monitoring. One such feature is the ability to manage the drip rate remotely via a mobile app, which guarantees accurate medicine delivery. Our system provides flexibility in how medication is administered per individual patient demands. Additionally, the integration of vehicle control makes it easier for patients to shift the IV set remotely, which maximizes resource allocation and reduces operational disturbances in the healthcare system. To improve patient safety, the system uses advanced sensors simultaneously. The system uses cutting-edge sensors simultaneously, such as an accelerometer for posture detection, an Infrared (IR) sensor for obstacle identification, and an alarm system for improved patient safety. These sensors support thorough patient monitoring, guarantee precise and reliable infusion rates, and notify medical professionals of possible problems. Vital patient information, including temperature, heart rate, and infrared data for drip level monitoring, is safely archived for review and analysis at a later time. This integrated solution's adaptability and scalability improve patient safety, medication administration efficiency, and overall healthcare outcomes offering healthcare professionals a comprehensive, technologically advanced innovation.

Published

2024-06-25

How to Cite

Aparna Devaraj, Ann Sunny, Rana Abdul Rasheed, Shifa Thasneem, & Minilal M. (2024). IoT Based Prototype for Patient Monitoring and Medical Infusion Intravenously. Recent Trends in Semiconductor and Sensor Technology, 18–26. Retrieved from https://matjournals.net/engineering/index.php/RTSST/article/view/604