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Title:
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SEMANTIC INTEGRATION OF MULTIPLE HEALTH
DATA FOR TREATMENT DECISION-MAKING
IN LOW-RESOURCE SETTINGS |
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Author(s):
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Olawande Daramola and Thomas Moser |
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ISBN:
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978-989-8533-89-0 |
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Editors:
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Mário Macedo |
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Year:
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2019 |
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Edition:
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Single |
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Keywords:
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Low Resource Settings, Semantic Integration, Health Data Integration, Electronic Health Records, Disease Treatment,
Decision Making |
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Type:
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Full Paper |
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First Page:
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43 |
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Last Page:
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50 |
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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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Accurate treatment decision-making for disease treatment is important, particularly if it is done in a way that helps to
overcome the challenges associated with low resource setting. This include shortage of qualified personnel,
infrastructure, ready access to devices, and healthcare by common people. Although real-time gait analysis has been used
for the diagnosis of diseases that are associated with gait impairments, the need to improve on the performance of
gait-based prediction by augmenting it with other sources of knowledge in a complementary way has been
acknowledged. In contrast, to existing approaches, this paper presents the design of a conceptual framework that will
enable the semantic integration and use of information from multiple health data sources in order to ensure efficient
treatment decision making for gait-related diseases in a low resource setting such as South Africa. The analytical
evaluation of the proposed framework suggests that it has sufficient merit and potential to be usable and useful in
low-resource settings. |
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