G.O AZIKEN

Maternal healthcare remains a critical index of global public health, yet many healthcare facilities in developing regions still rely heavily on paper-based record systems. These traditional methods are prone to data fragmentation, physical damage, and inefficiency, often leading to delayed clinical decisions during critical periods of gestation. This project addresses these challenges through the design and implementation of a digital, cloud-based Pregnancy Wellness Record Management System. The platform is engineered to streamline antenatal data collection, improve communication between expectant mothers and healthcare providers, and ensure seamless continuity of care. The system was developed utilizing a three-tier software architecture. The frontend user interface was built using responsive frameworks to ensure cross-platform accessibility on both mobile devices and desktops, while the backend logic was implemented using a robust server-side framework integrated with a secure relational database. The application features specialized portals tailored for two distinct user roles: expectant mothers and clinical personnel. For patients, the system offers tools for tracking daily gestational vitals (such as blood pressure, weight, and blood sugar levels), a gestational age calculator, medication reminders, and automated appointment scheduling. For healthcare providers, the system delivers a comprehensive clinician dashboard featuring real-time vitals visualization, antenatal visit logging, immunization tracking, and automated alert flags that trigger when a patient's logged vitals deviate into high-risk clinical thresholds. To safeguard sensitive protected health information (PHI), robust security measures—including role-based access control (RBAC), end-to-end data encryption using HTTPS/TLS protocols, and secure database hashing—were integrated into the system's design. Evaluation of the implemented prototype demonstrated a significant reduction in administrative retrieval times for patient files and enhanced user engagement in maternal self-monitoring. The developed system offers a scalable, secure, and highly efficient digital framework capable of modernizing antenatal care delivery, reducing clinical workloads, and ultimately contributing to improved maternal and neonatal health outcomes.