2016
DOI: 10.1109/jproc.2016.2615052
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Going Digital: A Survey on Digitalization and Large-Scale Data Analytics in Healthcare

Abstract: We provide an overview of the recent trends towards digitalization and large scale data analytics in healthcare. It is expected that these trends are instrumental in the dramatic changes in the way healthcare will be organized in the future. We discuss the recent political initiatives designed to shift care delivery processes from paper to electronic, with the goals of more effective treatments with better outcomes; cost pressure is a major driver of innovation. We describe newly developed networks of healthca… Show more

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Cited by 120 publications
(78 citation statements)
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References 86 publications
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“…One of the challenges with neoepitope discovery and targeting will be the management of Big Data: teraflops of compute resources in a cloud environment to generate terabytes of sequencing data, including whole genome and/or whole exome sequencing, RNA sequencing, and molecular modeling of immune presentation of neoepitopes [53]. To meet the demands of heterogeneity, analysis and long-term storage of data from multiple biopsies for each patient is a further challenge.…”
Section: Discussionmentioning
confidence: 99%
“…One of the challenges with neoepitope discovery and targeting will be the management of Big Data: teraflops of compute resources in a cloud environment to generate terabytes of sequencing data, including whole genome and/or whole exome sequencing, RNA sequencing, and molecular modeling of immune presentation of neoepitopes [53]. To meet the demands of heterogeneity, analysis and long-term storage of data from multiple biopsies for each patient is a further challenge.…”
Section: Discussionmentioning
confidence: 99%
“…Technologien, die große Datenmengen mit Methoden des maschinellen Lernens oder des Deep Learning untersuchen, werden immer mehr in der Medizin angewendet und implementiert [38]. Anwendungen, die sich teilweise bereits in der Entwicklung befinden, könnten somit in naher Zukunft einen direkten Einfluss auf die klinische Praxis haben.…”
Section: Big Data Und Digitalisierung Der Medizinunclassified
“…computerunterstützte Verwaltung. Der Support des Arztes durch Systeme, die möglicherweise durch maschinelles Lernen unterstützt werden, könnte ein Ansatz sein, diese Big-Data-Analysen in die klinische Praxis einzuführen [103,104].…”
Section: Antiemese Im Breiten Einsatzunclassified