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Andrea Norris, chief information officer at the National Institutes of Health, discusses the steps being taken at the NIH to efficiently integrate new practices in data science into their research and treatment processes.

Advances in data science practices, like cloud sharing and larger data storing capabilities, are being integrated into the sphere of public health. Researchers, doctors and administrators will be able to share potentially life-saving data from across the globe and revolutionize the way that information is used in medicine and research. Andrea Norris, chief information officer at NIH, says that emerging data science strategies offer the chance to vastly accelerate discoveries and new outcomes in health.


“We have done a variety of things but what we were watching was as new data deluge with the technology, the advances drive the prices down driving the prices down. For example, it costs less than $1000 today to sequence a human genome. That’s almost 3 million times less expensive than it was just 15 short years ago. And so we are seeing the rise in electronic health and environmental data, and imaging, and scanning,” Norris explained. “Even my Fitbit that I wear! So, we had to look at what are the strategies we need to put in place to really be able to get the most value, the most discovery. We had to ask, how we can use that data to accelerate discovery and cures?”

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