Data truly is the lifeblood of any healthcare organization. By its very nature, healthcare data is complex. This complexity is made that much more challenging because healthcare data is fragmented across multiple, disparate systems in numerous structured and unstructured formats.
This paper examines how data as a service (DaaS) can make data more accessible to application development teams, accelerate release cycles, and reduce costs by virtualizing application environments.
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