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This article is a departure from many prior studies in the literature on Medicare spending in the United States. Previous works have focused on time-invariant or hereditary demographic characteristics and congenital health status. In contrast, this study examined state-level variations in Medicare costs per enrollee with special emphasis on prominent acquired health-related lifestyle attributes that are more reversible over a short time period. Our main findings are (1) reversible acquired health-related lifestyle attributes such as smoking and obesity are statistically significant determinants of state-level variations in Medicare costs; and (2) state-level variations in Medicare spending is elastic with respect to changes in the prevalence of the two acquired health-related lifestyle attributes.
The impacts of lifestyle behavior on
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Cloud computing in eHealthis an emerging area for only few years. There needs to identify the state of the art and pinpoint challenges and possible directions for researchers and applications developers. Based on this need, we have conducted a systematic review of cloud computing in eHealth. We searched ACM Digital Library, IEEE Xplore, Inspec, ISI Web of Science and Springer as well as relevant open-access journals for relevant articles. A total of 237 studies were first searched, of which 44 papers met the Include Criteria. The studies identified three types of studied areas about cloud computing in eHealth, namely (1) cloud-based eHealth framework design (n=13);(2) applications of cloud computing (n=17); and (3) security or privacy control mechanisms of healthcare data in the cloud (n=14). Most of the studies in the review were about designs and concept-proof. Only very few studies have evaluated their research in the real world, which may indicate that the application of cloud computing in eHealth is still very immature. However, our presented review could pinpoint that a hybrid cloud platform with mixed access control and security protection mechanisms will be a main research area for developing citizen centred home-based healthcare applications.
A systematic literature review of cloud
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This article is a departure from many prior studies in the literature on Medicare spending in the United States. Previous works have focused on time-invariant or hereditary demographic characteristics and congenital health status. In contrast, this study examined state-level variations in Medicare costs per enrollee with special emphasis on prominent acquired health-related lifestyle attributes that are more reversible over a short time period. Our main findings are (1) reversible acquired health-related lifestyle attributes such as smoking and obesity are statistically significant determinants of state-level variations in Medicare costs; and (2) state-level variations in Medicare spending is elastic with respect to changes in the prevalence of the two acquired health-related lifestyle attributes.
The impacts of lifestyle behavior on
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hiij
Strategy execution and resources
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Agra
Agra
Minju_Jeong
UEISIM Desktop is a new method to remotely control and monitor a Simulink model running on a UEISIM.
UEISIM Desktop
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Frederic Villeneuve
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MOC_Rapid_SAND2010-2802P
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Earl Stromberg, PhD
Cloud computing in eHealthis an emerging area for only few years. There needs to identify the state of the art and pinpoint challenges and possible directions for researchers and applications developers. Based on this need, we have conducted a systematic review of cloud computing in eHealth. We searched ACM Digital Library, IEEE Xplore, Inspec, ISI Web of Science and Springer as well as relevant open-access journals for relevant articles. A total of 237 studies were first searched, of which 44 papers met the Include Criteria. The studies identified three types of studied areas about cloud computing in eHealth, namely (1) cloud-based eHealth framework design (n=13);(2) applications of cloud computing (n=17); and (3) security or privacy control mechanisms of healthcare data in the cloud (n=14). Most of the studies in the review were about designs and concept-proof. Only very few studies have evaluated their research in the real world, which may indicate that the application of cloud computing in eHealth is still very immature. However, our presented review could pinpoint that a hybrid cloud platform with mixed access control and security protection mechanisms will be a main research area for developing citizen centred home-based healthcare applications.
A systematic literature review of cloud
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hiij
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The ECG signals captured from the body of the patient using three electrode model is processed and conditioned by the analog front end device is finally sent to the data acquisition unit. The data acquisition unit used is the user pc/ laptop with MATLAB. Using very specific image processing techniques the critical intelligence from the captured image is extracted. From this processed image any sort of abnormal conditions is determined which is informed to the corresponding doctor via text message. Simultaneously the processed image is sent to the doctor mail by using specific TCP/IP protocol.
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The ECG signals captured from the body of the patient using three electrode model is processed and conditioned by the analog front end device is finally sent to the data acquisition unit. The data acquisition unit used is the user pc/ laptop with MATLAB. Using very specific image processing techniques the critical intelligence from the captured image is extracted. From this processed image any sort of abnormal conditions is determined which is informed to the corresponding doctor via text message. Simultaneously the processed image is sent to the doctor mail by using specific TCP/IP protocol.
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Hospital Management is a complex and dynamic organisational challenge. Hospital managers (HMs) are responsible for the effective use of valuable resources and assets, which is a significant issue in healthcare. Due to factors such as the increase in health care costs and political pressure, HMs have been compelled to examine new ways to improve efficiency and reduce healthcare delivery costs whilst improving patient satisfaction. Healthcare managers require tools that will allow them to review the current system or identify areas of improvement and quantify the possible changes. This paper covers an evaluation of a hospital simulator developed by the authors. A usability test of the simulator was carried out with hospital managers to provide real-world feedback on the simulator. This has provided lessons to be applied in the development and use of such a tool. For instance, use of traffic light colours in assisting management of hospital areas and Sensitivity Analysis supporting multiple or more complex scenarios.
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