Design and Development of an At-Birth Detection and Monitoring Digital System for Children Born with Down Syndrome in Rwanda

Habimana Jean Claude (), Murererehe Julienne (), Rugema Joselyne (), Ingabire Speciose (), Uwamahirwe Yvonne (), Nzayisenga Joselyne (), Boniface Ntambara (), Mutesa Leon () and Niyoyita Jean Paul ()
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Habimana Jean Claude: University of Rwanda, Health Informatics Department at the Regional Centre of Excellence in Biomedical Engineering and eHealth, College of Medicine and Health Sciences
Murererehe Julienne: University of Rwanda, College of Medicine and Health Sciences
Rugema Joselyne: University of Rwanda, College of Medicine and Health Sciences
Ingabire Speciose: The Nelson Mandela African Institute of Science and Technology, Embedded and Mobile Systems
Uwamahirwe Yvonne: University of Rwanda, Internet of Things Embedded Computing Systems at the Africa Centre of Excellence of Things (ACE-IoT), College of Science and Technology
Nzayisenga Joselyne: University of Rwanda, Health Informatics Department at the Regional Centre of Excellence in Biomedical Engineering and eHealth, College of Medicine and Health Sciences
Boniface Ntambara: IEEE Tanzania Section, Europe, Middle East, and Africa
Mutesa Leon: University of Rwanda, Centre of Human Genetics, College of Medicine and Health Sciences
Niyoyita Jean Paul: University of Rwanda, College of Medicine and Health Sciences

A chapter in Advancement in Embedded and Mobile Systems, 2026, pp 143-156 from Springer

Abstract: Abstract In Rwanda, enhancing awareness and early detection of Down syndrome at birth is crucial for healthcare providers, parents, and the community. Currently, the identification of Down syndrome symptoms in newborns is often delayed. To tackle this problem, we developed a web-based tracking system for Down syndrome. Through thorough analysis and surveys with 158 healthcare professionals from various regions, including the Eastern Province and Kigali City. The findings indicated that healthcare providers are well-versed in health information systems and have access to the necessary technology and internet connectivity, which supports the system's feasibility. Our web-based application, built using HTML, CSS, JavaScript, PHP, and MySQL, enables authorized healthcare personnel to document suspected Down syndrome cases and coordinate referrals to district and referral hospitals for further evaluation and treatment. Feedback loops and treatment recommendations are efficiently managed, ensuring timely interventions. This system shows significant potential to enhance care and facilitate timely interventions for children with Down syndrome in Rwanda.

Keywords: Down syndrome; Web application development; At birth detection; Monitoring (search for similar items in EconPapers)
Date: 2026
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DOI: 10.1007/978-3-031-99219-3_11

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