Computational and Communication Science Engineering [ CoCSE]

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Browsing Computational and Communication Science Engineering [ CoCSE] by Author "Abashe, Japheth"

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    Development Of A Web-Based System To Enhance Monitoring Laboratory Order And Result Dissemination A Case Study Of Softmed Company Limited
    (NM-AIST, 2025-08) Abashe, Japheth
    Laboratory testing plays a critical role in clinical decision-making and patient care. However, in many healthcare settings, especially in developing countries, laboratory order management remains manual and paper-based, leading to inefficiencies, errors, and delays in result dissemination. These challenges compromise the quality of care and timely treatment decisions. Despite existing studies highlighting errors in laboratory workflows, especially in the pre-analytical phase, few interventions target private, multi-hospital laboratory services in Tanzania. This study aimed to improve operational efficiency and result dissemination at SoftMed, a private pathology laboratory in Arusha, Tanzania, through the development of a web-based laboratory order and result dissemination system. The system was designed to automate test acquisition, streamline inter-facility coordination, and reduce operational bottlenecks. A qualitative approach was used, involving interviews and system validation by six clinical and laboratory staff directly involved in lab order processes. Development followed the Agile Extreme Programming (XP) methodology, using Angular for the web interface, Laravel for the backend, and MySQL for data storage. Validation assessed improvements in turnaround time, communication, and error reduction. Results indicated notable improvements in workflow efficiency, reduced turnaround time, and enhanced communication between healthcare providers and lab staff. Although the validation sample was limited, feedback confirmed the system's operational effectiveness in the specific private lab context. This study contributes practical evidence supporting lab workflow automation in Tanzania’s private healthcare sector and recommends futureintegration with electronic medical records (EMRs) for comprehensive health information management.
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    An Internet of Things Based system for Road Surface Condition Assessment Using Machine Learning
    (IEEE, 2023-09) Kaijage, Shubi; Leo, Judith; Abashe, Japheth; Riwa, Janeth; Ochiel, Michael
    , ,Road surface condition assessment is crucial for maintaining road safety and preserving road infrastructure. However, techniques for assessing road conditions employed in Tanzania are manual and labor-intensive, leading to slow and ineffective repair practices. To address these challenges, this project developed an Internet of Things-based system for Road Surface Condition Assessment using Machine Learning. The system collects real-time data on road surface conditions using camera and gyroscope sensors; processes the data using machine learning algorithms to detect defects on the road surface. The data is used for decision support by the maintenance authorities to ease their process by automation of road condition surveys. The effectiveness of the developed system was evaluated through a qualitative study that collected data on road condition assessment practices in Tanzania. The results indicate that the proposed system provides a more efficient, cost-effective, and comprehensive method for assessing road conditions in Tanzania. The study found that the proposed system facilitated efficient road maintenance. This project highlights the potential of IoT and machine learning in addressing road safety and labor requirement challenges faced by developing countries in the field of infrastructure management, it also offers a valuable contribution to the field of transportation and engineering.