The United States leads the world in artificial intelligence, but lags behind other countries in applying technical innovations to the field of healthcare. Globally, machine learning is used to increase efficiency, lower error rates, and decrease medical costs, but the fragmented marketplace and lack of universal healthcare in America disincentivize adoption of new technology as buyers often prioritize economics over patient care.
Sally Daub, CEO of Enlitic, a frontrunner in providing AI-based healthcare solutions, illuminates why healthcare technology adoption is stunted. “Here the conversation revolves around ‘Who is going to pay for this? What are the economic incentives to use this technology?’ rather than ‘Will this technology result in better outcomes for patients?’,” she explains. Payoff structures may even discourage insurers from footing the bill for early intervention treatments. If insurers don’t approve a new technology, they don’t issue insurance procedure codes necessary for healthcare providers to be reimbursed for services, which means providers won’t adopt the solution either.
Read more at forbes.com