Authors : K. Sai Prasanna; Dr. Sanjay Dubey; Dr. R. Anirudh Reddy; K. Harini; K. Vishnu Suhas

Volume/Issue : Volume 11 - 2026, Issue 3 - March

Google Scholar : https://tinyurl.com/2ywkh2sa

Scribd : https://tinyurl.com/2pwckte7

DOI : https://doi.org/10.38124/ijisrt/26mar1331

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.

Abstract : Accurate medication delivery, ongoing patient health monitoring, and secure clinical data management are now more important than ever due to the quick uptake of electronic medical devices in healthcare. Due to their fixed flow rates and inability to adjust to real-time changes in the physiological conditions of the patient, conventional syringe infusion pumps may administer an excessive or insufficient dosage. This paper suggests a smart syringe pump system that integrates IPFS-based secure drug data logging and real-time vital sign monitoring in order to overcome these constraints. Using biomedical sensors, the system continuously measures body temperature, heart rate, and blood oxygen saturation (SpO2). These variables are processed by an ESP32 microcontroller, which then dynamically adjusts a stepper motor to control the infusion rate in accordance with preset safety thresholds. Real-time visualization and user interaction are provided by a mobile application that is Bluetooth enabled. The InterPlanetary File System (IPFS) stores patient vitals and drug delivery data as structured JSON files at the end of each infusion session, guaranteeing decentralized, impenetrable data storage. The suggested system provides a safe, scalable solution for managing healthcare data while enhancing patient safety and reducing manual intervention.

Keywords : The Internet of Things (IoT), ESP32, Adaptive Medication Infusion, Smart Syringe Pump, Real-Time Vital Monitoring, InterPlanetary File System (IPFS), and Decentralized Healthcare Systems

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