Therefore, the availability and integration of all related health data sources, such as clinical data 2014a, b) in this chapter found that the highest impact of big data applications in the healthcare domain is expected when it becomes possible to not only rely on one single, but various data sources such that different aspects from the various domains can be related. Thus, the efficient management and integration of health data is a key requirement for big data applications in the healthcare domain that needs to be addressed. In other words, one of the biggest challenges in the healthcare domain for the realization of big data applications is the fact that high investments, standards, and frameworks as well as new supporting technologies are needed in order to make health data available for subsequent big data analytics applications. As a consequence, convincing business cases are difficult to identify as the burden of the initial investment strongly reduces any profit expectations. High investment and effort is needed to enable efficient health data managementĪnd seamless health data access as the foundation for big data applications. This is mainly due to the fact that health data cannot be easily accessed. Although non-advanced healthcare analyticsĪpplications-such as analytics for improved accounting, quality control, or clinical research-are available in a widespread manner, these applications do not make use of the potential of big data technologies.
However, to the best of our knowledge, only a limited number of implemented big data based application scenarios can be found today. In conclusion, big data applications in healthcare have high future potential and opportunities. 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. This is in comparison to other industries the largest opportunity for efficiency improvements. 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 %. Of big data applications in the healthcare domain, of the order of a $300 billion value per year solely for the US. For instance, the McKinsey Company ( 2011) Study indicates a high financial impact 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. This process is experimental and the keywords may be updated as the learning algorithm improves. These keywords were added by machine and not by the authors.
The trend towards value-based healthcare delivery will foster the collaboration of the stakeholder to enhance the value of the patient’s treatment, and thus will significantly foster the need for big data applications. Current roadblocks are the established system incentives of the healthcare system, which hinder collaboration and, thus, data sharing and exchange. In terms of market adoption, the big data revolution in the healthcare domain is in a very early stage with the most potential for value creation and business development unclaimed as well as unexplored. In order to improve this situation and for establishing the basis for the widespread implementation of big data applications in the healthcare sector, several technical requirements such as the semantic enrichment of data, data integration and sharing, data privacy and security, as well as data quality, need to be addressed. As of today, access to health data is only possible in a very constrained and limited manner. However, in order to realize those applications, one needs to enable seamless access to the various health data sets. The wide scope and variety of discussed big data applications indicate the promising opportunities of big data technologies to improve overall healthcare delivery. 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 technology.
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