In this week’s platter, we learn about the CEO of the much-hyped Amazon- Berkshire-JPMorgan Chase healthcare partnership; we look at what “deep learning” can offer to autism therapy; we pay attention to the frugal practices of a hospital in the Cayman Islands, and finally, we consider the question of medical malpractice litigation in an age of medical robots. Enjoy.
When news broke that the Dr. Atul Gawande had been named CEO of the Amazon-Berkshire-JPMorgan Chase healthcare partnership, industry insiders were quick to raise doubts about his credentials. This article argues that the esteemed surgeon, thinker, professor and author, Dr. Atul Gawande is exactly the right choice to lead the venture. Perhaps it is too soon to call it, but be rest-assured that he has plans to create a bold new future for American healthcare.
Children with autism spectrum conditions often have trouble recognizing the emotional states of people around them — distinguishing a happy face from a fearful face, for instance. To remedy this, some therapists use a kid-friendly robot to demonstrate those emotions and to engage the children in imitating the emotions and responding to them in appropriate ways. Researchers at the MIT Media Lab have now developed a type of personalized machine learning that helps robots estimate the engagement and interest of each child during these interactions, using data that are unique to that child. Given the heterogeneity of the autism – this is a remarkable development.
By almost any measure, American health care costs are out of control but the system refuses to change. Inasmuch as there is no ‘one size fits all’ in the complex system of healthcare, the U.S could learn something by taking a peek at a hospital in the Cayman Islands — Health City Cayman Islands — who are managing to provide high-quality care at dramatically lower costs. What is preventing the U.S from adopting similar frugal practices?
So everybody’s amazed at the advancement of AI and robotics in healthcare. But what if a deep learning algorithm misses a diagnosis, the doctor accepts the judgment and the patient dies? What if a surgical robot injures a patient during a procedure? Who will be held liable in the future when robots and artificial intelligence (A.I.), acting autonomously, wrong humans? This article uses theoretical reasoning to address some of these questions.
Healthcare regulators, agencies, and lawyers – it’s time to look ahead!