Integrating Big Data with Medical Imaging

Big Data has changed the way we manage, analyze and leverage data in any industry. One of the most promising areas where big data can be applied to make a change in healthcare. Healthcare analytics have the potential to reduce costs of treatment, predict outbreaks of epidemics, avoid preventable diseases and improve the quality of life in general. Apart from these, it also finds its usage in medical imaging.


Medical imaging is vital and this can be understood from the fact that each year in the US about 600 million imaging procedures are performed. It is expensive in terms of both time and money to analyze and store these images manually these, as radiologists need to examine each image individually, while hospitals need to store them for several years.

Carestream, a medical imaging provider explains how big data analytics for healthcare could change the way images are read. Algorithms developed analyzing hundreds of thousands of images could identify specific patterns in the pixels and convert it into a number to help the physician with the diagnosis. Additionally, they are also of the opinion that it could be possible that radiologists will no longer need to look at the images but instead analyze the outcomes of the algorithms that will inevitably study and remember more images than they could in a lifetime. This would undoubtedly impact the role of radiologists, their education and required skillset.

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