New York City-based Mount Sinai researchers have developed an artificial intelligence algorithm that predicts outcomes for COVID-19 patients who arrive in the emergency room with mild symptoms.
Innovation
The pandemic has spurred innovation in the health IT space during 2020, as hospitals and health systems find new ways to optimize workflows, use data to improve care delivery and connect patients to healthcare providers virtually.
Parents magazine selected 15 children's hospitals as the top pediatric healthcare providers for innovation and technology.
Here are eight recent health IT vendor contracts and go-lives accelerating digital transformation efforts at healthcare organizations.
West Lafayette, Ind.-based Purdue University, Cincinnati Children's Hospital Medical Center and SUNY Buffalo are among a group of healthcare organizations forming a new initiative focused on using artificial intelligence to accelerate COVID-19 research.
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The pandemic has made hospital administrators more aware than ever about the need to improve their operations and care delivery via digital transformation, and many hospitals that can afford to roll out innovation programs are making that move.
From their thoughts on how the digital health field will change in 2021 to how hospitals can roll out technologies to improve patient engagement, here are eight key quotes about the role of innovation in healthcare that executives from hospitals…
Google Cloud AI and the Harvard Global Health Institute on Nov. 16 released new versions of their jointly developed COVID-19 Public Forecasts dashboard, which provides projections for hospitalizations and death rates across the U.S., according to VentureBeat.
John Glaser, PhD, an executive in residence at Boston-based Harvard Medical School and former CIO of Boston-based Partners Healthcare (now Mass General Brigham), developed a list of five deliberations hospitals should consider before adopting new technology.
New York City-based Mount Sinai Health System researchers created machine learning-powered models that identify high risk and likelihood of mortality in COVID-19 patients.