Open Access Journal

ISSN : 2394-2320 (Online)

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

Open Access Journal

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

ISSN : 2394-2320 (Online)

Smart Care’s Iot Integration on Intravenous Monitoring

Author : Dr.A.M. Ravishankkar,S. Devipriya,R. Sivaranjani,R.Varsini

Date of Publication : 29th June 2024

Abstract:The task of keeping an eye on patients in a hospital throughout the day is difficult in the existing medical system. Physicians and nurses can have too much on their plates to care for every patient at once. This could endanger the lives of the sufferers. Due to the continuous influx of new patients during the COVID-19 epidemic, doctors and nurses are unable to keep an eye on every patient at all times. The task pertaining to health should be completed accurately and correctly. Injecting saline or intravenous (IV) fluid into a patient's vein is an example of this kind of labour in a hospital. Inadequate monitoring of the drip system can result in issues such as liquid backflow, blood loss, and other issues. We suggested the Smart Care’s IoT Integration on Intravenous Monitoring System as a way to lessen strain and get out of such a tight spot when it comes to intravenous drip monitoring systems. The intravenous (IV) bag's weight is measured in this system using a load cell sensor. When the saline bag is empty, the system notifies the nurses or doctors so they can replace it or take it out when needed. Using the Blynk Software Platform, we may view the intravenous (IV) bag's liquid level on a mobile device in this system. A warning indicating that the task is incomplete will be sent again in five minutes if the IV bottle is not removed; if the bottle is changed, a notification will come as the task is completed.

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