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Medical imaging data enables modern healthcare strategies
This article is part of the Pulse issue of January 2018, Vol. 6, No. 1
The healthcare industry has seen a surge in data in recent years, especially due to the increased adoption of electronic health records after Congress passed the HITECH Act in 2009. Medical images make up much of the healthcare data currently available, and the volume of data is projected to grow to 2,413 exabytes -- there are 1 billion gigabytes in 1 exabyte -- by 2020. Healthcare organizations are thus faced with the tasks of not only storing that data, but also analyzing it for patient care so it doesn't just sit dormant. Medical imaging data contains a wealth of information that can be used to enable modern healthcare approaches like precision medicine and population health. But because medical imaging data sets are large -- in some cases 10 GB or more -- healthcare organizations must store them in a way that allows providers to access the most recent data first -- and fast. Setting storage priorities One issue organizations often run into is that medical imaging data isn't always stored chronologically. It can also be ...
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Features in this issue
Three health IT pros look at the challenges to full-blown cloud adoption and explain why hybrid cloud is a popular approach to storing medical images.
Medical images make up a large percentage of healthcare data. Providers can draw insights from that data to make better decisions about patient care.
Hospitals that face an influx of medical imaging data can benefit from a hybrid cloud model to store data and enable disaster recovery services.
Columns in this issue
The analytics performed on medical images adds a new dimension to clinical data. For providers, this trend boosts population health management and precision medicine efforts.