A WORKABLE SOLUTION TO AMERICA'S HEALTHCARE CRISIS Enzo Zelocchi
Actor, producer and businessman Enzo Zelocchi recently announced he had solved America's healthcare crisis with the upcoming launch of a free-to-use platform called A-Medicare A-Medicare is a universal health care system that creates affordable healthcare while also providing multiple services by leveraging machine learning, artificial intelligence and blockchain technology to deliver 21st century solutions to the healthcare dilemma. Zelocchi has already built a grassroots movement in support of the project, with nearly 500,000 views of the platform's inaugural promotional video and over 15-million views of his declaration-of-intent statement.
said Zelocchi.
"I've been working on this awhile, having been completely heartbroken over the daily horror stories I've heard of people struggling to live with little to no healthcare, here in the richest country in the world. It's an enormous, epic problem, and an ongoing human rights nightmare. That's why I developed A-Medicare. It solves multiple problems at once, and we are ready to advance it to the next level: to deliver healthcare with the love and compassion currently lacking in today's market."
"One idea can change everything,"
The Three-Pillared Solution for Controlled Costs
Utilizing a robust digital rewards model that is virtually impossible to cheat, participants on the platform are incentivized to live healthy lives, securing credits that can then be used to purchase healthcare services from the AMedicare healthcare exchange. More than just an exchange though, AMedicare delivers a wide variety of healthcare services across the spectrum, including patient and provider education, access to prescriptions and pharmacies, as well as detailed dietary information. The platform is supported by an ads-based revenue model that can ensure lower costs for both patients and the government.
A-Medicare's central platform technology is undergirded by thee equal pillars:
Machine Learning: A complex series of everevolving algorithms that can solve problems like organ-matching in a wide population, greatly assisting the efforts of UNOS and Organ Procurement Organizations (OPOs).
Machine learning assists with other medicalrelated tasks as well, including deep-learning techniques and categorization technologies that can faster and more accurately read Xrays, MRIs and CT scans, improving overall patient outcomes and ultimately reducing costs.
Artificial Intelligence: Assists with multiple medical-related issues like genetic medical diagnoses and personalized digital health plans. A.I. works in tandem with machinelearning to grow and expand with each patient, serving them across the totality of their health history and throughout their lives.
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