Healthcare providers have an ever expanding choice of medical tools to choose from. However, the more medical devices they acquire, the more complex their systems become. Two of the biggest issues healthcare providers face are: Dealing with the variety, volume, velocity, complexity, and non-interoperability of healthcare data Moving disparate data from their individual data silos to a consolidated repository where true value can be realized, i.e., faster, more reliable diagnoses (because providers and their applications have access to the full healthcare data set
Healthcare costs continue to skyrocket. In 2016, healthcare costs in the US were estimated to be almost 18 percent of GDP. The healthcare industry is seeing an unprecedented and accelerating growth of ESI. This avalanche of data is being generated from the digitization of healthcare information, EHR systems, precision and personalized medicine, health information exchanges, new imaging technologies (DICOM), new regulations, IoMT (Internet of Medical Things), and other major technology developments.
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Healthcare providers are facing continually growing data storage requirements, a changing regulatory compliance environment and increasing numbers of data sources to manage. The obvious culprit of rising healthcare storage requirements is diagnostic imaging systems. Currently, imaging systems are creating over 600 million images per year in the U.S. alone.
According to IDC, healthcare data is one of the fastest growing segments of the digital universe – growing from 153 exabytes in 2013 to an estimated 2,314 exabytes in 2020, a 48% annual growth rate. So where will the healthcare industry put all of this critical and sensitive data and how long must it be held?