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On robust methodologies for managing public health care systems.

Nimmagadda SL, Dreher HV - Int J Environ Res Public Health (2014)

Bottom Line: In addition to rigor on data mining and visualization, an added focus is on values of interpretation of data views, from processed full-bodied diagnosis, subsequent prescription and appropriate medications.The proposed methodology, is a robust back-end application, for web-based patient-doctor consultations and e-Health care management systems through which, billions of dollars spent on medical services, can be saved, in addition to improving quality of life and average life span of a person.Government health departments and agencies, private and government medical practitioners including social welfare organizations are typical users of these systems.

View Article: PubMed Central - PubMed

Affiliation: School of Information Systems, CBS, Curtin University, Perth, 6102 WA, Australia. shastri.nimmagadda2011@gmail.com.

ABSTRACT
Authors focus on ontology-based multidimensional data warehousing and mining methodologies, addressing various issues on organizing, reporting and documenting diabetic cases and their associated ailments, including causalities. Map and other diagnostic data views, depicting similarity and comparison of attributes, extracted from warehouses, are used for understanding the ailments, based on gender, age, geography, food-habits and other hereditary event attributes. In addition to rigor on data mining and visualization, an added focus is on values of interpretation of data views, from processed full-bodied diagnosis, subsequent prescription and appropriate medications. The proposed methodology, is a robust back-end application, for web-based patient-doctor consultations and e-Health care management systems through which, billions of dollars spent on medical services, can be saved, in addition to improving quality of life and average life span of a person. Government health departments and agencies, private and government medical practitioners including social welfare organizations are typical users of these systems.

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Related in: MedlinePlus

Alarming diabetes spread worldwide (Source: World Health Organization, WHO).
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ijerph-11-01106-f002: Alarming diabetes spread worldwide (Source: World Health Organization, WHO).

Mentions: This paper is intended to study the feasibility and applicability of robust database methodologies such as, an ontology-based multidimensional data warehousing and data mining for integrating multiple domains, such as diabetes and foodstuffs (and nutrients) that include antioxidants. This can evaluate the effectiveness of diabetic disease management, using both patient medical records and medicare claims that address clinical outcomes, costs and process measures. If the interventions can positively influence various measures taken, the project may been expanded to an advanced care stage. Reduction in medicare payments suggest inpatient hospital services and emergency room visits, as well as increase in the percentage of patients, being tested annually for HbAlc and being referred for diabetic education. More importantly, HbAlc test results are expected to improve understaning of this ailment, if any. It is a primary measure of consistent blood glucose control. As per WHO statistics (Figure 2), the alarming situation is that people in India, China and USA are suffering from diabetes in numbers respectively 32, 21 and 18 million, and these figures are expected to reach 79, 42 and 30 million by 2030. Other countries with millions of sufferers include Australia, Indonesia, Japan, Pakistan, Russia, Brazil, Italy and Bangladesh, which suggest the availability of enormous data sources worldwide.


On robust methodologies for managing public health care systems.

Nimmagadda SL, Dreher HV - Int J Environ Res Public Health (2014)

Alarming diabetes spread worldwide (Source: World Health Organization, WHO).
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC3924495&req=5

ijerph-11-01106-f002: Alarming diabetes spread worldwide (Source: World Health Organization, WHO).
Mentions: This paper is intended to study the feasibility and applicability of robust database methodologies such as, an ontology-based multidimensional data warehousing and data mining for integrating multiple domains, such as diabetes and foodstuffs (and nutrients) that include antioxidants. This can evaluate the effectiveness of diabetic disease management, using both patient medical records and medicare claims that address clinical outcomes, costs and process measures. If the interventions can positively influence various measures taken, the project may been expanded to an advanced care stage. Reduction in medicare payments suggest inpatient hospital services and emergency room visits, as well as increase in the percentage of patients, being tested annually for HbAlc and being referred for diabetic education. More importantly, HbAlc test results are expected to improve understaning of this ailment, if any. It is a primary measure of consistent blood glucose control. As per WHO statistics (Figure 2), the alarming situation is that people in India, China and USA are suffering from diabetes in numbers respectively 32, 21 and 18 million, and these figures are expected to reach 79, 42 and 30 million by 2030. Other countries with millions of sufferers include Australia, Indonesia, Japan, Pakistan, Russia, Brazil, Italy and Bangladesh, which suggest the availability of enormous data sources worldwide.

Bottom Line: In addition to rigor on data mining and visualization, an added focus is on values of interpretation of data views, from processed full-bodied diagnosis, subsequent prescription and appropriate medications.The proposed methodology, is a robust back-end application, for web-based patient-doctor consultations and e-Health care management systems through which, billions of dollars spent on medical services, can be saved, in addition to improving quality of life and average life span of a person.Government health departments and agencies, private and government medical practitioners including social welfare organizations are typical users of these systems.

View Article: PubMed Central - PubMed

Affiliation: School of Information Systems, CBS, Curtin University, Perth, 6102 WA, Australia. shastri.nimmagadda2011@gmail.com.

ABSTRACT
Authors focus on ontology-based multidimensional data warehousing and mining methodologies, addressing various issues on organizing, reporting and documenting diabetic cases and their associated ailments, including causalities. Map and other diagnostic data views, depicting similarity and comparison of attributes, extracted from warehouses, are used for understanding the ailments, based on gender, age, geography, food-habits and other hereditary event attributes. In addition to rigor on data mining and visualization, an added focus is on values of interpretation of data views, from processed full-bodied diagnosis, subsequent prescription and appropriate medications. The proposed methodology, is a robust back-end application, for web-based patient-doctor consultations and e-Health care management systems through which, billions of dollars spent on medical services, can be saved, in addition to improving quality of life and average life span of a person. Government health departments and agencies, private and government medical practitioners including social welfare organizations are typical users of these systems.

Show MeSH
Related in: MedlinePlus