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Several developments in the healthcare sector, such as escalating healthcare costs, increased need for healthcare coverage, and shifts in provider reimbursement trends, trigger the demand for big data technologies in order to improve the overall efficiency and quality of care delivery. For instance, the McKinsey Company (2011) Study indicates a high financial impact of big data applications in the healthcare domain, of the order of a $300 billion value per year solely for the US. Similarly impressive numbers are provided by IBM: within the Executive Report of IBM Global Business Services (Korster and Seider 2010), the authors describe the healthcare system as highly inefficient, that is, approximately US$ 2.5 trillion is wasted annually and efficiency can be improved by 35 %. This is in comparison to other industries the largest opportunity for efficiency improvements. Moreover, major players are investing in the growth market of medicine for an aging population, for instance Google founded a new company Calico to tackle age-related health problems. In conclusion, big data applications in healthcare have high future potential and opportunities. However, to the best of our knowledge, only a limited number of implemented big data based application scenarios can be found today. Although non-advanced

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