Patient Infusion Bottle Monitoring System Based on IoT Seta Samsiana, Setyo Supratno, Firman Choiri Okta, Sugeng, Muhammad Ilyas Sikki, Andi Hasad, Abdul Hafid Paronda
Universitas Islam 45 Bekasi
Abstract
In the healthcare field, the process of intravenous fluid infusion has become a crucial method in patient recovery. However, monitoring and replacing infusion bottles pose challenges for hospitals due to limited medical staff and time constraints. Currently, infusion bottle control is still done manually, which can lead to risks such as delayed handling when the infusion bottle is empty and the risk of blood clot formation. Therefore, the use of technology is needed to address these issues. This research aims to design and create a real-time Internet of Things (IoT)-based monitoring and alert system for patient infusion bottle conditions related to volume using a website. The research uses data collection methods such as literature studies, system design, device assembly, and system testing. The results obtained in this study include an infusion pole equipped with Load cell sensors and a website application that can monitor patient infusion bottles through the nurse^s room. The conclusion is that the comparison results between the sensor and the digital scale show a percentage error of 0.11% on Load cell A and 0.14% on Load cell B. Then the average measurement tolerance at different infusion flow rates shows variation. At slow infusion flow rates, the average tolerance on infusion A is -0.04%, while on infusion B is -0.06%. At moderate infusion flow rates, the average tolerance on infusion A is -0.12%, and on infusion B is -0.07%. At fast infusion flow rates, the average tolerance on infusion A is -0.19%, and on infusion B is -0.04%.
