New York's largest health system recently selected Google Cloud to help it innovate in such areas as predictive clinical insights, digital scheduling, automated payer interactions and intelligent visit summaries.
Innovation
Hospitals are using AI, data analytics and machine learning to improve health outcomes, produce predictive clinical insights and improve patient care. Here are four artificial intelligence projects health systems have recently created and deployed as reported by Becker's Hospital Review:
Ever since bitcoin hit the scene in the late 2000s, leaders in a variety of industries have been exploring how the data technology can improve their businesses. Healthcare is no exception.
Mayo Clinic Platform, the data analytics and digital health arm of the Rochester, Minn.-based medical center, is trying to stop diseases in patients before they emerge, its leader told Becker's.
A new machine learning tool could predict cases of cerebral palsy in young infants with brain damage, according to a July 11 international study published in JAMA Network Open.
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Baptist Health Innovations has opened applications for its health tech accelerator.
Researchers with the Center for Applied Genomics at Children's Hospital of Philadelphia have created an algorithm that will separate patients with attention-deficit/hyperactivity disorder alone from those with ADHD along with other conditions.
Urbana, Ill. -based health system Carle Health is using Health Catalyst PowerCosting software to renovate its financial system, Health Catalyst said July 12.
Xealth, a digital health company, is expanding their leadership through the appointments of Joe Sedlak, RN, to special vice president of sales and Laurance Stuntz to special vice president of customer success.
Healthcare accelerator Xleratehealth July 12 announced the eight startup companies taking part in its Flint 2022 cohort in Michigan.