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One of the biggest problems around big data, and the predictive models that could build on that data, really centers on how you engage others to benefit from that information. Beyond the tools that we need to engage noncomputational individuals in this type of information and decision making, training is another element. They’ve grown up in a system that is very counter to this information revolution. So we’ve started placing much more emphasis on the generation of coming physicians and on how we can transform the curriculum of the medical schools. I think it’s a fundamental transformation of the medical-school curriculum, and even the basic life sciences, where it becomes more quantitative, more computational, and where everybody’s taking statistics and combinatorics and machine learning and computing.
Those are just the tools you need to survive. And it has to start at that earlier stage, because it’s very, very difficult to take somebody already trained in biology or a physician and teach them the mathematics and computer science that you need to play that game.
Via Celine Poirier
An excellent McKinsey & Company article. "Technology is revolutionizing our understanding and treatment of disease," but beyond the tools, physicians' engagement is key and must start at the earlier stage. The medical-school curriculum needs to follow the digital revolution.