Article | March 2, 2016

Barriers To Big Data Innovation In Healthcare

Barriers To Big Data Innovation In Healthcare

HIPAA, Data Transparency, and Patient Data Anonymization Standards Stifle Big Data

In the last several years, we have seen tremendous advances in the amount of data we routinely generate and collect, as well as our ability to analyze and understand it. The intersection of these trends is what we call “Big Data” and it is helping businesses in every industry to become more efficient and productive. Big data analytics is the process of examining large, complex data sets to uncover hidden patterns, unknown correlations and other useful information that can be used to make better decisions. In healthcare, harnessing and unlocking the potential in existing data sources, including clinical trials, biomedical imaging studies, EHRs, genomic and personal health data, can provide insights to improve decision making in all aspects of clinical trial design and drug development. 

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