Rising costs in healthcare was a top issue for voters in the 2018 election, and more emphasis on the industry is likely to come, according to a 2019 outlook from Avalere.
Baylor St. Luke’s Medical Center appointed a new president and restructured other staff after an investigation from the Houston Chronicle and ProPublica found mistakes at the Houston-based hospital’s heart transplant center led to patient deaths.
Washington State University (WSU) scientists are testing a mobile robot designed to help care for senior citizens with health limitations who live on their own.
The U.S. healthcare system is not very popular, according to a recent Gallup poll. In fact, 70 percent of Americans describe the system as being “in a state of crisis” or “having major problems,” the poll found.
Two-thirds of public citizens in the Middle East are ready to embrace AI in healthcare, while only 10 percent of businesses in the region are ready or have begun adopting the technology, according to a new report by PwC Middle East.
The accountable care organization (ACO) industry is asking CMS for more time to apply for the reformed Medicare Shared Savings Program, but the new changes are likely to roll out whether ACOs are ready or not, according to a new report from Leavitt Partners.
The Trump administration is preparing to allow states to remodel their Medicaid programs with block grant proposals, according to a report from The Wall Street Journal.
Duke researchers have been awarded a grant worth more than $196,000 to address the need of explainability features in AI-based, clinical decision support software versus the need to protect trade secrets for the technology—an issue researchers say has become an emerging problem in AI-enabled healthcare delivery.
An aggressive flu season in 2017 contributed to 145,000 global deaths, according to a recent study published by The Lancet. The high figure echoes early estimates of 80,000 flu deaths in the United States in the same year.
AI may be better at spotting cervical cancer and precancer after a study found a deep learning algorithm was more accurate at recognizing the disease than human doctors.
