The integration of artificial intelligence (AI) and machine learning (ML) into electronic health record (EHR) systems offers a transformative Fourth Industrial Revolution (4IR) opportunity for public health decision-making in resource-limited settings. The translation of algorithmic advances into...
The increasing adoption of the Internet of Things (IoT) in healthcare has revolutionized patient care through real-time monitoring and remote diagnostics. This project presents a SecurityAware IoT-Driven Remote Patient Monitoring (RPM) Framework that captures, encrypts, and securely transmits...
This study evaluated the sustainability and long-term impact of the Zambia Electronic Perinatal Record System (ZEPRS) on enhancing maternal and neonatal health service delivery in the Lusaka District. The study aimed to determine the impact of ZEPRS on clinical outcomes, the improvement of...
This study investigates the effectiveness of third-party logistics (3PL) in enhancing last-mile delivery of essential medicines within Zambia’s public health supply chain. Using a structured questionnaire, data were collected from 109 respondents across ZAMMSA, 3PL providers, and high-volume...
Download PDF ↓Healthcare systems worldwide are increasingly leveraging data-driven strategies to enhance decision-making, optimize resource allocation, and improve patient outcomes. This research explores the application of machine learning-driven predictive analytics for Cholera outbreaks forecasting and...
This study introduces a groundbreaking TB detection system in Zambia, harnessing chest X-ray analysis via machine learning. Addressing the limitations of traditional TB detection methods, this research utilized a layered architecture for image processing and classification using a convolutional...
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