AI and machine learning are forcing dramatic business model change for all the stakeholders in the health care system.
What does AI (and machine learning) mean in the health care context?
What is the best way to treat a specific patient given her health and sociological context?
What is a fair price for a new drug or device given its impact on health outcomes?
And how can long-term health challenges such as cancer, obesity, heart disease, and other conditions be managed?
the realization that treating “the whole patient” — not just isolated conditions, but attempting to improve the overall welfare of patients who often suffer from multiple health challenges — is the new definition of success, which means predictive insights are paramount.
Answering these questions is the holy grail of medicine — the path toward an entirely new system that predicts disease and delivers personalized health and wellness services to entire populations. And this change is far more important for patients and society alike than the debate now taking place in Washington.
Those who succeed in this new world will also do one other thing: They will see AI and machine learning not as a new tool, but as a whole new way of thinking about their business model.
Source: Venture Beat
