Major players in the health care industry are betting big on artificial intelligence (AI) to revolutionize the way providers care for patients, especially as the world grapples with the new coronavirus pandemic. Daily Briefing's Ashley Fuoco Antonelli outlines what we know—and don't know—about AI in health care.
Health care staff are at the front lines of addressing the Covid-19 epidemic. With the peak surge still on the horizon for most of the country, it's important that organizations proactively introduce or reinforce support structures to maintain staff well-being, Advisory Board's Taylor Hurst and Lauren Rewers write.
Hospitals across the country are canceling elective surgeries to increase capacity for Covid-19 patients, leaving some patients concerned that their health conditions, if left unattended, could become "ticking time bomb[s]," The Atlantic reports.
National health care spending in the United States is expected to grow at an average annual rate of 5.4% from 2019 to 2028, outpacing the gross domestic product's average annual growth rate of 4.3%, according to preliminary projections from CMS' Office of the Actuary published last week in Health Affairs.
To help treat the influx of patients suffering from Covid-19, hospitals nationwide are being forced to improvise—and many have started turning to unexpected specialists such as cardiologists and anesthesiologists, Tara Bannow and Maria Castellucci report for Modern Healthcare.
As more diagnostic tests for Covid-19 enter the market to meet continued demand, providers and suppliers are starting to tackle the next challenge of Covid-19 testing: processing capacity. Advisory Board's Abby Burns highlights three emerging solutions to the latest testing hurdle.
Hospitals are looking to post-acute care providers to offload excess patient volumes ahead of an expected surge in Covid-19 patients. But Advisory Board's Carolyn Buys explains that post-acute providers face unique challenges—and highlights seven lessons UW Medicine learned when discharge planning.