Abstract
The laboratory testing method in today's world, is inefficient and error-prone. Laboratory errors are inherently enigmatic because they are difficult to detect and, once discovered, are more difficult to comprehend than other types of medical errors. Medical errors, such as the loss of patient data and the mixing up of patient findings, can no longer be considered unavoidable, but can instead be actively minimized and prevented. In light of the COVID epidemic, this approach eliminates the necessity for direct physical contact between the laboratory technician and the patient being tested, as well as the resources and time spent bringing oneself to the hospital and waiting for a test that takes only a few minutes. This paper proffers a solution for the above stated issues and also provided a foundational framework for scalability. Prototyping software development model was adopted and use cases was for modelling of the system.
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More From: International Journal of Information Systems and Computer Sciences
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