Big data and the Future of Medicine (2)
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- Big data and the Future of Medicine (2)
To
the thread of a previous entry written last month, an example of one
the many companies working in the area of the big data applied to the
medicine, that within the strong trend towards digital health gives us
an interesting video explaining the possibilities of treatment of
patients ' data in a world in which the profusion of sensors multiplies
the information that can be introduced in the system , while enabling an
infinitely more sophisticated statistical treatment.
GNS
Healthcare works with mobile applications that many use to keep track
of our health habits – exercise, weight, body fat percentage, food,
water, activity, etc. – and with the digitized clinical records
(electronic medical record or electronic clinical history, more and more
habitual in certain countries) to generate predictive models by means
of reverse engineering and simulation techniques, in order to advance
which of the possible treatments before a certain symptomatology will
have a more appropriate effect in A patient we have a lot of information
about – while managing the information of many patients helps us build
valid models applicable for those patients we don't have such
information about.
The
idea is to move towards personalized medicine through models in which
we introduce all the available data about ourselves, from our personal
genomics to everything our sensor ecosystem stores on us on a continuous
basis. Instead of being short-term and simply seeing who is carrying a
device to monitor their health, or sinister uses of something like this
to raise the price of our health insurance policy, we have to look
beyond and try to design a future in which millions of people can
voluntarily contribute their data to such systems , and that make
progress in the field of medicine that today we can not even imagine.
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