From:
https://www.researchgate.net/publication/221222788_A_Cloud_Computing_Solution_for_Patient's_Data_Collection_in_Health_Care_Institutions?ev=prf_pub
ABSTRACT:
Existing processes for patients' vital data collection require a great deal of labor work to collect, input and analyze the information. These processes are usually slow and error- prone, introducing a latency that prevents real-time data accessibility. This scenario restrains the clinical diagnostics and monitoring capabilities. We propose a solution to automate this process by using “sensors” attached to existing medical equipments that are inter-connected to exchange service. The proposal is based on the concepts of utility computing and wireless sensor networks. The information becomes available in the “cloud” from where it can be processed by expert systems and/or distributed to medical staff. The proof-of-concept design applies commodity computing integrated to legacy medical devices, ensuring cost- effectiveness and simple integration.
Conference Paper A Cloud Computing Solution for Patient's Data Collection in ...
Dear Carlos, please have a look on the paper: An architecture for designing Future Internet (FI) applications in sensitive domains: Expressing the Software to data paradigm by utilizing hybrid cloud technology. (http://sotiriadis.gr/bibe2013_cloud_archspecs.pdf)
In this work we present an architecture for developing diabetes care system in the concept of the FI-STAR FP7 project. The general idea is that we utilise the "software to data" paradigm to propose an architecture for sensitive data processing in clouds.
The emergency of cloud computing and Generic Enablers (GEs) as the building blocks of Future Internet (FI) applications highlights new requirements in the area of cloud services. Though, due to the current restrictions of various certification standards related with privacy and safety of health related data, the utilization of cloud computing in such area has been in many instances unlawful. Here, we focus on demonstrating a “software to data” provisioning solution to propose a mapping of FI application use case requirements to software specifications (using GEs). The aim is to establish a provider to consumer cloud setting wherein no sensitive data will be exchanged but it will reside at the back-end site. We propose a prototype architecture that covers the cloud management layer and the operational features that manage data and Internet of Things devices. To show a real life scenario, we present the use case of the diabetes care and a FI application that includes various GEs.
Dear Carlos, interesting area to be investigated. Please see the below abstract and if interested will attach the full paper as I did it with my colleagues.
Cloud computing is a new computing paradigm that benefit from the distributed resources to solve large scale computing problems. During the last few years, cloud computing has grown rapidly as promising business idea in the IT industry due to its characteristics such as cost reduction, flexibility, convenience, and scalability. Unfortunately, there are several issues reduce the cloud computing growth such as loss of security, privacy, and control. The security problem is considered a major factor that could prevent the development of cloud computing. In this paper, we explored the cloud computing classification, challenges, and opportunities. Moreover, we review and discuss the cloud computing security issues and accountability. We emphasize that although there are many security models were proposed to improve the cloud security, but there is no any currently available solution to handle all security issues. Therefore, the future research has to be focus on solving the security issues and an accountability mechanism has to be developed.
Dear Carlos, please have a look on the paper: An architecture for designing Future Internet (FI) applications in sensitive domains: Expressing the Software to data paradigm by utilizing hybrid cloud technology. (http://sotiriadis.gr/bibe2013_cloud_archspecs.pdf)
In this work we present an architecture for developing diabetes care system in the concept of the FI-STAR FP7 project. The general idea is that we utilise the "software to data" paradigm to propose an architecture for sensitive data processing in clouds.
The emergency of cloud computing and Generic Enablers (GEs) as the building blocks of Future Internet (FI) applications highlights new requirements in the area of cloud services. Though, due to the current restrictions of various certification standards related with privacy and safety of health related data, the utilization of cloud computing in such area has been in many instances unlawful. Here, we focus on demonstrating a “software to data” provisioning solution to propose a mapping of FI application use case requirements to software specifications (using GEs). The aim is to establish a provider to consumer cloud setting wherein no sensitive data will be exchanged but it will reside at the back-end site. We propose a prototype architecture that covers the cloud management layer and the operational features that manage data and Internet of Things devices. To show a real life scenario, we present the use case of the diabetes care and a FI application that includes various GEs.
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