Revolutionizing Obstetric Care: IoT, AI-Enabled, and Data-Driven Partograph System

This research paper introduces a comprehensive real-time labor and delivery monitoring system that uses various hardware devices like ultrasound transducers, cardiotocographs, sphygmomanometers, and IoT devices. It creates a database accessible via a dedicated mobile app for doctors, nurses, and receptionists. The system includes features to identify and notify medical staff of potential risks such as preterm labor or fetal distress, using SMS alerts and LED lights for immediate attention. In emergencies, it notifies relevant medical personnel and receptionists for urgent interventions like cesarean sections. If needed facilities aren't available nearby, the system searches for hospitals within an 8-kilometer radius and sends alerts to check availability, arranging for an ambulance if necessary. This system allows real-time access to patient data, leading to faster responses and improved outcomes, enhancing decision-making and reducing maternal and child mortality through timely interventions and improved maternal care quality.