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논문 기본 정보

자료유형
학술저널
저자정보
Seow Hoon Saw (Universiti Tunku Abdul Rahman) Kok Boon Chong (Hextar Group) Seow Hui Saw (Universiti Tunku Abdul Rahman)
저널정보
대한전자공학회 IEIE Transactions on Smart Processing & Computing IEIE Transactions on Smart Processing & Computing Vol.8 No.6
발행연도
2019.12
수록면
482 - 489 (8page)
DOI
10.5573/IEIESPC.2019.8.6.482

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초록· 키워드

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Tuberculosis (TB) causes millions of deaths every year globally. The contributing factors are delayed presentation of signs and symptoms, inaccurate diagnosis, and postponement of treatment. It is worsened by the lack of a competent information system to manage TB clinical and laboratory data of the patients. Despite the common usage of information systems in the hospital setup, their importance in TB control has only recently been recognized. An effective system for TB patient data is still needed to ease inter-facility communication. The goal of such a system is to rapidly report on and detect infections or outbreaks, as well as to plan interventions. This paper demonstrates development of a paperless prototype information system that collects, stores, and manages information on TB patients, and delivers it between clinics, radiology departments, and diagnosis laboratories. This green system is environmentally friendly because all documentation is digitized. In addition, the use of automation minimizes human error.

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Abstract
1. Introduction
2. The Diagnosis of Tuberculosis
3. The Proposed System Design
4. The Proposed System Implementation
5. Conclusion and Future Work
References

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