Web-based intravenous fluid monitoring

Abstract

Abstract Hospitals and community health centers in Indonesia still use conventional infusion devices to treat patients. Technological developments have made many medical devices automatically controlled. This study aimed to provide a web-based intravenous fluid monitoring using NodeMCU. The sensor consisted of a load cell sensor as a reader for the remaining infusion fluid, an optocoupler sensor as a blood detector, and a photodiode sensor to read the number of drops. In the event of dangerous situations such as an intravenous fluid running out, blood entering the intravenous line or the liquid is not dripping, the tool will give a warning through status LED, buzzer sound, and warning sounds on the web. This system has an error value of 3.12% for mass readings, 6.47% errors for droplet readings and 0% errors for blood detection. This system works by utilizing a Wi-Fi internet network. This system is expected to enable nurses, doctors, and patient’s families to monitor a patient’s intravenous fluids in real-time conditions.