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Analyzing stored medical image data helps picture the future
This article is part of the Pulse issue of January 2018, Vol. 6, No. 1
The healthcare industry may not be quite there yet, but someday soon, an archived clinical picture may be worth a thousand data points. And I'm intrigued by what results medical image data analytics will yield. We've come a long way since the printed family photo albums my grandmother kept in her kitchen cabinet. Photos, nowadays, can hold important and revealing digital information. Someone's mugshot, for example, is not just another pretty face. That particular image can be searched online, scrutinized by facial recognition software and possibly help a potential employer determine whether a candidate is the best person for a job. Precision medicine and population health management benefit from the data contained in patient charts, electronic health records and clinical images. So it's no surprise that the potential spreads far and wide if medical image data analysis can peel away the layers of an MRI image of a tumor. When aggregated by software, the location of lung tumors in 50-year-old men may help oncologists determine ...
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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.