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Two Accepted Papers in the Health Sector

Two new publications by Sonja Zillner et al. have gotten accepted on international conferences. See http://big-project.eu/publications for all project publications.
User Needs and Requirements Analysis for Big Data Healthcare Applications (MIE 2014)
The realization of big data applications that allow improving the quality and efficiency of healthcare care delivery is challenging. In order to take advantage of the promising opportunities of big data technologies, a clear understanding of user needs and requirements of the various stakeholders of healthcare, such as patients, clinicians and physicians, healthcare provider, payors, pharmaceutical industry, medical product suppliers and government, is needed.
Our study is based on internet, literature and market study research as well as on semi-structured interviews with major stakeholder groups of healthcare delivery settings. The analysis shows that big data technologies could be used to align the opposing user needs of improved quality with improved efficiency of care. However, this requires the integrated view of various heterogeneous data sources, legal frameworks for data sharing and incentives that foster collaboration.
Towards a Technology Roadmap for Big Data Applications in the Healthcare Domain (IEEE IRI HI)
Big Data technologies can be used to improve the quality and efficiency of healthcare delivery. The highest impact of Big Data applications is expected when data from various healthcare areas, such as clinical, administrative, financial, or outcome data, can be integrated. However, as of today, the seamless access to the various healthcare data pools is only possible in a very constrained and limited manner. For enabling the seamless access several technical requirements, such as data digitalization, semantic annotation, data sharing, data privacy and security as well as data quality need to be addressed. In this paper, we introduce a detailed analysis of these technical requirements and show how the results of our analysis lead towards a technical roadmap for Big Data in the healthcare domain.


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