Yifru, Martha (PhD)Belachew, Ayele (PhD)Mustefa, Tuha2018-11-192023-11-292018-11-192023-11-292014-06http://etd.aau.edu.et/handle/123456789/14384Background: Every year almost 10 million children die before reaching the age of five despite the fact that two-thirds of these deaths could be prevented by effective low-cost interventions. To combat this, the World Health Organization (WHO) and UNICEF developed the Integrated Management of Childhood Illness (IMCI) treatment guidelines. In Ethiopia, IMCI is used as a guideline for the treatment of childhood illness. Currently, health centers use paper based guideline of IMNCI. The e-IMNCI is the electronic version of IMNCI – a computer-based Decision Support System based on IMNCI. The eIMNCI follows the same protocol with the current paper based guidelines used. The e-IMNCI will serve as clinical decision supporting system, the aim of CDS is to assist, rather than to replacing the health professionals. Objective: The objective of this project is to automate IMNCI to improve the clinical decision making process. Methodology: To achieve the objective of this project, requirements was identified and collected by applying interview, observation and relevant document review techniques. Object oriented system analysis and design methodology is used to develop the system. Analysis, design and implementation of the system were performed by using the unified modeling language tools for analysis and design, and C# programming language and Microsoft Structured Query Language for implementation stage of the system. At the end of system development phase, pilot testing was done to check the performance and usability of the prototype system by using Morae TechSmith software. Discussion of Results: System analysis done by using functional, object and dynamic models. The functional model is described by use case diagrams, object model is described by class diagram, and the dynamic model is described by sequence diagrams. Both performance and usability test was conducted to measure the performance of the system and to describe to what extent the system is usable. The result of system usability testing shows 83.4% willingness to use the system easily. And also the accuracy of the system’s clinical decision supports module is 94.44%. Conclusion: Generally, the prototype system serve as a guideline, patient information management system and diagnosis assistant. The initial feedback from health works has been extremely positive. Hence the prototype system achieves a good performance and meets the objectives of the project. However, in order to make the system applicable in the domain area, some adjustments like including more disease and symptoms information in the rules of knowledge base of the system, and changing its passive mode to active mode of information delivery will be made to handle the limitation of the system.enIntegrated Management of Newbornand Childhood Illness (e-IMNCI):Thesis