Managing Socio-technical Interactions in Healthcare Systems

El-Hassan, Osama; Fiadeiro, José Luiz; Heckel, Reiko

doi:10.1007/978-3-540-78238-4_36

Cited by 2 publications

(2 citation statements)

References 14 publications

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“…This work has to be extended in different arenas, such as integrating the Infectious disease reporting system with the policybased framework in order to be compliant to healthcare regulators' rules and regulations. Such an approach specified by El-Hassan, et al [11] allows specifying rules for accessing resources (e.g. patients data) in both normal and emergency situations.…”

Section: Discussionmentioning

confidence: 99%

Untitled

2016

International Journal of Medical and Health Sciences Research

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As per WHO report, Tuberculosis remains one of the world's deadliest communicable diseases. In 2013, an estimated 9.0 million developed TB and 1.5 million died from the disease, 360,000 of which whom were HIV positive. Tuberculosis is still a major problem in advanced countries due to specific socioeconomic factors. From a global perspective, many laboratories use the same methods today that were in use long time ago for the detection of tuberculosis, because most of innovative current technologies for the detection of tuberculosis incurs high cost and cannot be afforded for all the countries. The detection of tuberculosis remains a challenge from the point of diagnosis and confirmation and there is a growing need of accurate diagnosis process. In this research, an ontology based classification of tuberculosis laboratory tests, environmental factors and other vital signs are studied along with support vector machine for the diagnosis of the tuberculosis disease. Through this method, we are able to measure of the weightage of the disease, the future onset of the disease and produce, an alert. Ontology based classification is widely used for knowledge based information grouping and structuring while SVM is used for accurate and fast machine learning algorithm. By combining Ontology and the training data based on various characteristic of the tuberculosis are passed onto linear SVM. The results we are able to achieve with this method are helpful for diagnosis support and future onset.

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Section: Discussionmentioning

confidence: 99%

Untitled

2016

International Journal of Medical and Health Sciences Research

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“…Social norms represent the capabilities of human interaction within organizations and can be effective under unusual conditions when following rules and guidelines may not protect the patient's interests. 25 One of the interviewees said, "According to Iranian rules, the physician can do anything if he accepts the consequences. " Another interviewee said, "In Iran, follow-up depends on the level of power.…”

Section: Combination Of Declarative and Imperative Languagesmentioning

confidence: 99%

The Feasibility of Deploying Business Process Management in Hospitals in Iran

Tourani¹,

Reisabdollahi²

2016

Hosp Pract Res

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Managing Socio-technical Interactions in Healthcare Systems

Cited by 2 publications

References 14 publications

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The Feasibility of Deploying Business Process Management in Hospitals in Iran

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