Harnessing Big Data for Precision Medicine, Part 2

Health researcher in a lab typing on a computer.

They found previously hidden patterns in thousands of patients’ vital signs, indicating when a patient was about to go into severe sepsis, a more dangerous condition. As a result of the findings, hospitals in the chain immediately started monitoring sepsis patients for such red flags, so that doctors could implement their protocols earlier and save lives.

We believe our new approach is ideally suited to solving the kinds of big-data problems that threaten to hold back progress in precision medicine. It is about much more than technology. It really represents a new mindset—a reimagining of how information can be used to further medical discovery.

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To learn more about our work in precision medicine, download the full Insight or explore Part 3 below.

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