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Title:
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DEVELOPMENT OF A MOBILE APP DIAGNOSTIC SYSTEM FOR TROPICAL FEBRILE DISEASES |
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Author(s):
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Okure Obot, Daniel Asuquo, Kingsley Attai, Ekemini Johnson, Kiirya Arnold, Mercy Edoho, Moses Ekpenyong, Christy Akwaowo, Owoidoho Udoh, Victoria Usen and Faith-Michael Uzoka |
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ISBN:
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978-989-8704-50-4 |
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Editors:
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Piet Kommers, Mário Macedo, Guo Chao Peng and Ajith Abraham |
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Year:
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2023 |
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Edition:
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Single |
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Keywords:
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Febrile Disease, Malaria, Multi-criteria Decision Analysis, Analytic Hierarchy Process, Medical Decision Support System |
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Type:
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Full |
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First Page:
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183 |
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Last Page:
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190 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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Febrile diseases present confusable symptoms that can be highly challenging to inexperienced physicians during diagnosis. This is in addition to the acute shortage of experienced medical experts in rural communities, especially in low-to-middle-income countries (LMICs). To address these challenges, there is a need for the development and adoption of mobile health (mHealth) application - a medical decision support system that is both effective and easy to use by inexperienced physicians and frontline health workers (FHWs) who conduct primary patient diagnosis in rural communities in a number of LMICs. An app developed for the diagnosis and treatment of febrile illnesses, if properly utilized by this category of health workers can serve as a DSS to save many lives lost due to inaccurate diagnosis and self-medication. With data gathered from 3253 patients in four states in Nigeria, several models were developed from the data leading to the use of one of the models (the analytic hierarchy process [AHP] for systems development). This paper presents the methodology of the developed system, based on the AHP model, which showed 90% diagnosis accuracy and 91% precision. A major component of our methodology was the use of elements of design thinking (involving physicians and FHWs) to ensure excellent user experience with functional app features and components usable across a range of devices and platforms. |
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