Health data differs from other industries' data in terms of structure, context, importance, volatility, availability, traceability, liquidity, change speed, usage and sources from which it is collected. As medicine is a constantly developing science, healthcare sector also. In this new emerging research area which stands at the intersection of several different discipline such as Medicine, Behavioral Science, Supply Chain Management or Big Data Analytics, techniques, methods, applications and devices are continuously developed to be used for the acquisition, storage, processing, analysis, standardization and optimization of every process in the health sector. As healthcare sector is so challenging and related data are consistently explosive, healthcare organizations are focusing to become smarter in order to overcome the industry’s inefficiencies to improving quality of care. “To become smarter” requires an impeccable data analytics. All stakeholders in the sector should reveal the deep value of this valuable data in order to apply insights to improve quality of care, clinical outcomes and deliver personalized healthcare value, while reducing medical costs, collaborate across care settings to deliver integrated, personalized care experiences, prevent disease, promote wellness and manage care, build flexibility into operations to support cost reduction and excellence in clinical and business performance and practices

The general purpose of this special session in IEEE BigData 2019 conference is to bring together researchers, academicians and sector employees from different fields and disciplines and provide them an independent platform to exchange information on their researches, ideas and findings about healthcare data and its analytics. It is also aimed to encourage debate on how big data can effectively support the healthcare in terms of diagnosis, treatment and population health, and to develop a common understanding for research conducted in this multidisciplinary field.

Topics of interest include, but are not limited to, the following:

Healthcare Data
Health data collection and analysis
Problems in health data processing
Protection and security of personal health data
Electronic health records and standards
Healthcare Information Systems
Medical Imaging Systems
Medical Applications
Mobile Solutions
Pervasive Healthcare Information Systems and Services
Sensor nodes
Wearable health information
Information solutions developed for the disabled
Process Management in Health Informatics Systems
Health Decision Support Systems
E-health Applications
E-health solutions in Turkey
Public health information application

Special Session Organizers:
Sultan Turhan (sturhan@gsu.edu.tr), PhD., Department of Computer Engineering, Galatasaray University
Ozgun Pinarer (opinarer@gsu.edu.tr), Ph.D., Department of Computer Engineering, Galatasaray University

Papers should be submitted as a PDF in 2-column IEEE format. Detailed instructions for the authors can be found at the conference website (http://cci.drexel.edu/bigdata/bigdata2019/CallPapers.html).
Accepted papers will be published in the conference proceedings.
All accepted papers must be presented by one of the author/s in the conference to include the article in the proceedings (http://cci.drexel.edu/bigdata/bigdata2019).
If you have any question about the special session, please do not hesitate to contact us.