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On pourrait croire à tort que la santé résisterait aux attaques des barbares. Ceux ci seraient-ils assez insolents pour prendre d'assaut la vie humaine ? Ne devrait-elle pas rester entre les mains de docteurs formés de longues années durant, aux savoirs profonds et aux lourdes responsabilités, adossés à des hôpitaux, structures, et organisations, ayant fait leurs preuves?
Et pourtant, la première opération de l'appendicite sans intervention humaine a eu lieu il y a quelques mois. La Big Data permet de prédire l'avenir médical, et les outils numériques remplacent les médecins dans les diagnostics et suivis des patients.
Avec les progrès de l'Intelligence Artificielle et de la bionanotechnologie, certains nous prédisent l'immortalité. Google s'y est d'ailleurs attelé.
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12. One of the world’s biggest healthcare databases. They’ve created applications
that tap into the more than 100 billion data points in their database. Their
solutions help clinicians analyze troves of data from disparate sources, such
as electronic health records (EHRs) and payor financial data, in real time.
14. Watson, this is a revolution
Only 20 percent of the knowledge physicians use to make diagnosis and treatment
decisions today is evidence based. The result? One in five diagnoses are incorrect or
incomplete and nearly 1.5 million medication errors are made in the US every year.
Watson uses natural language capabilities, hypothesis generation, and evidence-based
learning to support medical professionals as they make decisions.
49. A little story...
Imagine a portable, low-intensity X-ray machine that can be wheeled between offices
on a small cart. It creates images of such clarity that pediatricians, internists, and
nurses can detect cracks in bones or lumps in tissue in their offices, not in a hospital.
It works through a patented “nanocrystal” process, which uses night-vision technology
borrowed from the military. At 10% of the cost of a conventional X-ray machine, it
could save patients, their employers, and insurance companies hundreds of thousands
of dollars every year.
Great innovation, right? Guess again. When the entrepreneur who developed the
machine tried to license the technology to established health care companies, he
couldn’t even get his foot in the door. Large-scale X-ray equipment suppliers wanted no
part of it. Why? Because it threatened their business models.
55. Given the obstacles to low-end disruption, health care’s
true disruptive innovation may come from the opposite
side of the economic spectrum: the patients with
the best health insurance coverage (or that
don’t care of the money involved).
58. They value:
- Reaching medical experts anytime, anytime
- They would be willing to pay more themselves
59. Here’s the funny trick: They won’t have to pay more since
even the most sophisticated expertise available through webbased and video technology will cost less to provide.
62. Doctors and hospitals can continue to practice under the current model
for a few more years. After all, even high-end disruption will take several
years to unfold. But at some point – and I predict sooner than later –
industry-wide disruption will begin. Once it does, the pace will be rapid.