Big Data and the future of medicine

A sample of the many companies working in the area of big data applied to medicine , in the very strong trend towards the so-called digital health , gives us an interesting video explaining the possibilities of treatment of patient data in a world wherein the sensor profusion multiplies the information that can be introduced into the system, while enabling an infinitely more sophisticated statistical treatment.

GNS Healthcare works with many mobile applications used to track health habits - exercise, weight, percent body fat, food, water, activity, etc.. - And digitized health records (Electronic Medical Record or Electronic Health Record , increasingly common in some countries) to build predictive models using reverse engineering and simulation, in order to advance which of the possible treatments to a specific symptomatology have an effect on a patient's right we have a lot of information - while handling information from many patients helps us to construct valid models applicable for those patients who do not have that information.

The idea is to move towards personalized medicine using models that introduce all available data about ourselves, from our staff genomics to all that our ecosystem of sensors stored on us continuously. Instead of being shortsighted and see just who takes up a device to monitor their health, or something sinister uses for purposes such as raising the price of our health insurance policy, we need to look further and try to design a future that millions of people to voluntarily contribute their data to such systems and to enable breakthroughs in the field of medicine today can not even imagine.