E-Health is one of the major research topics that have been attracting many cross-disciplinary research groups in both academic and industrial fields. In this context, the deployment of new emerging ICT technologies based on Cloud computing, Internet of Things (IoT) and Social Network (SN) in health systems is attracting the interest of many researchers. On one hand Cloud computing and IoT have emerged as new complementary paradigms that moved enterprise computing from the classical host-based architecture pattern into the elastic and pervasive distributed computing pattern defined Edge. The use of cloud computing and IoT in healthcare has been very prominent recently, as several features in cloud and IoT are being used to deploy health related systems, services, and applications. For instance, health monitoring, health data storage, health data collection, mobile health, pervasive health, Healthcare monitoring, telemedicine, context-aware computing, ubiquitous computing, processing health data in the cloud, securing health data in the cloud and Assistive Technology (AT) are areas of interest that are being addressed using cloud computing and IoT techniques. On the other hand, several challenging issues have raised due to the adoption of such emerging technologies. These include the quality of health data, the ability to retrieve information and use it in health context, privacy and security issues of health data while being processed in the cloud, availability of health data, models of context and tele-monitoring of contextual applications. On the other hand health-oriented SNs are having a great impact in the healthcare domain. The 80 percent of Internet users are specifically searching for health information, the 40 percent of those are looking for a specific doctor or healthcare professionaland the 72 percent of all internet users are active social network users. Health-oriented SNs have the strength to influence healthcare services delivery and information availability supported by emerging technologies which track, gather and quantify real-time medical data from patients. They support publicly provided information to patients, offering them the power not only to educate themselves but take part in the decision-making process of their health. Currently, HSNs are considered by the medical personnel as a powerful tool for promoting the exchange of information among patients about specific diseases. Moreover, healthcare stakeholders have gained access to new information which can help to cut costs, progress research, and improve the healthcare system. However, they also present potential risks for patients due the possible distribution of poor-quality or wrong information, confidentiality violation and due to the fact that the medical personnel, often do not have the time to read patients' posts and moderate them when required. ECISeH 2016 is the first International IEEE Workshop dedicated to Cloud Computing, IoT and HSN solutions for e-Health. This workshop solicits unpublished research works related to the latest challenges, technologies, solutions and techniques regarding the adoption of such a technologies. The workshop will bring together researchers from academia, industry, government, medical center in order to present the state of the art in the emerging area of the use of Cloud computing, IoT or SNs solutions in Biomedical engineering (BME).

Topics of interest include (but are not limited to):

Paper Submission

We invite original research papers that have not been previously published and are not currently under review for publication elsewhere. Submitted papers should be no longer than 8 pages in two-column IEEE proceeding format.

Submission site: TBA

Important Dates

Organizing Committee

Program Committee