“Over the past four or five decades carbohydrate-heavy diets—pushed by mass-market production and mass marketing of cereals and drinks laced with high-fructose corn syrup—created an epidemic of obesity and, ultimately, diabetes. The medical profession lumped most people with diabetes into one of two categories of the disease—type 1 is genetic and type 2 is diet related—and prescribed a standard treatment. It was a classic mass-market medicine approach. So the healthcare industry scaled up to meet demand. It built diabetes centers and more hospitals and ran every patient, assembly-line style, through the same tests the few times a year they’d be able to visit an endocrinologist, whose schedule was packed. Yet for patients, sugar levels in between appointments can change, rising and falling to dangerous levels, and the disease can progress, adding more costs and more visits to bigger hospitals. People suffering from diabetes end up costing the healthcare system $300 billion a year in the United States alone. (It’s only going to get worse globally: within a decade China will likely have more people with diabetes than the entire US population.) “The scaled approach can’t keep up with the growing number of people with the condition, and it fails to give people with diabetes what they really want: a healthy life.Por cá, fala-se muito de Indústria 4.0, mas continuam a construir hospitais-monumento ou hospitais-cidade. Recordar os hospitais-cidade, as escolas-cidade e as máquinas-monumento.
In reality every person who has diabetes suffers from it differently, and the best way to treat it is different for everybody.
“Personalized AI-driven care can reduce the amount Americans spend caring for diabetes by as much as $100 billion just by keeping more people with diabetes well more of the time. Unscaled solutions can change the game and reduce healthcare costs by keeping people well. The nation can save money while at the same time making citizens healthier, happier, and more productive.”