Why is data analytics important in healthcare

Big data in medicine and healthcare

08/01/2015 | Leading theme | Edition 8/2015

Magazine:
Federal Health Gazette - Health Research - Health Protection> Edition 8/2015
Author:
Dr. Stefan Rüping

Summary

Healthcare is one of the industries with the greatest potential for big data. According to the usual definition, big data refers to the fact that data volumes are now often too large, too heterogeneous and growing too quickly to be stored, analyzed and made usable with conventional technologies. Big data is being driven by three technological trends: Business processes are increasingly being carried out electronically, private individuals are producing more and more data - e. B. in social networks - and digitization continues to advance, through smartphones and apps into everyday life. In medicine and healthcare, too, new trends towards interesting new data sources and innovative possibilities for data analysis are emerging. On the one hand, this applies to research. Omics research, for example, clearly needs big data technologies. In medical practice, electronic patient files, free public data and the trend towards the quantified self, i.e. measuring one's own behavior, offer new possibilities for data analysis. With regard to analytics, there have been significant advances in the recent past in particular in the extraction of information from text data, which makes a large amount of data from medical documentation available for analysis. At the same time, however, due to the special technical, legal and ethical framework conditions in medicine and healthcare, the use of big data is much less pronounced than in other industries. However, the first interesting best practice examples in medicine and in the health sector suggest that innovative approaches and results can be expected. The present article provides an overview of the potential of big data in medicine and healthcare.

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Federal Health Gazette - Health Research - Health Protection

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literature
Go back to reference Mayer-Schönberger V, Cukier K (2013) Big data: a revolution that will transform how we live, work, and think. Houghton Mifflin Harcourt Publishing, Boston, MA Mayer-Schönberger V, Cukier K (2013) Big data: a revolution that will transform how we live, work, and think. Houghton Mifflin Harcourt Publishing, Boston, MA
Go back to reference Holzinger A, Schantl J, Schroettner M, Seifert C, Verspoor K (2014) Biomedical text mining: state-of-the-art, open problems and future challenges. In: Holzinger A, Jurisica I (Ed) Interactive knowledge discovery and data mining in biomedical informatics. Springer, Berlin S 5–16 CrossRef Holzinger A, Schantl J, Schroettner M, Seifert C, Verspoor K (2014) Biomedical text mining: state-of-the-art, open problems and future challenges. In: Holzinger A, Jurisica I (Ed) Interactive knowledge discovery and data mining in biomedical informatics. Springer, Berlin pp. 5-16 CrossRef
About this article
title
Big data in medicine and healthcare
Publication date
01.08.2015
DOI
https://doi.org/10.1007/s00103-015-2181-y
publishing company
Springer Berlin Heidelberg
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