Artificial Intelligence

A new Healthcare IT News and HIMSS Analytics survey found population health and precision medicine among the initiatives where health IT professionals expect AI to have the greatest impact.

The University of Nebraska Medical Center will give doctors and nurses hands-on training with emerging technology.

The biotech mogul gave about $15 million to Phoenix Children’s Hospital fund that included millions in deals that benefited his for-profit companies.

The technologies are enabling early-adopter hospitals to transition from the art of medicine to the science of medicine. 

New predictive analytics capabilities will bolster company’s revenue cycle and practice management tools, officials say.

According to the media company’s lawyers, the biotech billionaire told Tronc leaders that they had to invest in his company to secure his own financial backing.

Both supervised and unsupervised machine learning can help executives better enhance care delivery, Stanford algorithms expert says.

MedyMatch Technology and Samsung NeuroLogica have teamed up to help paramedics and EMTs more quickly and accurately assess stroke patients in prehospital environments. By integrating MedyMatch's artificial intelligence technology into ambulance-based mobile stroke units equipped with Samsung NeuroLogica's CereTom computed tomography scanner, the companies say first responders can more easily use CT scans to determine whether a patient is suffering from a blood clot or hemorrhage. Faster patient assessment can enable caregivers to follow the most appropriate treatment path, ideally while in transit to the hospital. Nearly 800,000 Americans suffer a stroke each year, most of them caused by clot obstruction in the brain. [Also: IBM Watson partners with MedyMatch to put AI to work on stopping brain bleeds] Such ischemic strokes can be treated with a tissue plasminogen activator, or tPA, but it must be administered within three hours. It can take an hour after a stroke patient arrives in the ED to receive treatment because of the time needed to determine which kind of stroke the patient is having. The AI integration, which is pending regulatory approval, could buy valuable time on the way to the hospital, sending images to a cloud-based server where machine learning technology can be applied to help determine where the bleeding is occurring. Twitter: @MikeMiliardHITN Email the writer: mike.miliard@himssmedia.com Like Healthcare IT News on Facebook and LinkedIn

Artificial intelligence and machine learning are fast accelerating the insights that can be gleaned from the granular descriptions enabled by ICD-10.

CEO John Flannery said the company is embarking on a digital transformation of its healthcare entity, which is  focused on cloud, data analytics, population health, imaging and more.