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Artificial Intelligence

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By Automation Anywhere | 12:09 pm | August 05, 2022
Will medical establishments face million-dollar penalties in October?
By Bill Siwicki | 11:13 am | August 05, 2022
April Kapu, DNP, president of the American Association of Nurse Practitioners, digs into the nursing shortage today and talks about where health IT can benefit – and hurt – nurses in their day-to-day routine.
By Andrea Fox | 11:54 am | August 04, 2022
The health systems will collaborate with the New York-based AI startup to integrate representative patient data for an equitable healthcare platform for clinical practice diagnostics and decision-making.
By Bill Siwicki | 11:48 am | August 04, 2022
An expert offers an in-depth look at how cloud technologies and AI can improve call-center operations and the employee and patient experiences.
HIMSS22 Europe
By HIMSS TV | 10:46 am | August 03, 2022
"You have to get a hold of the data and understand the business process," explains Atif Chaughtai, Red Hat's global healthcare market leader.
By HIMSS TV | 07:00 am | August 03, 2022
Interoperability isn't enough. Providers need to quickly access the most relevant patient information at the point of care. Bill Hayes, MD, chief medical officer at CPSI, talks about how machine learning he calls "cognitive logic" could help.
HIMSS22 Europe
By HIMSS TV | 07:00 am | August 02, 2022
The chief medical information officer at German Heart Center Berlin discusses how artificial intelligence and interoperability are enabling leading-edge medical care for patients.
By Emily Olsen | 01:59 pm | August 01, 2022
Ramakant Vempati, Wysa cofounder and president, discusses how the startup tests its AI-backed chatbot to monitor safety and quality.
By Bill Siwicki | 12:31 pm | August 01, 2022
The New York City medical group health system physical therapy program saw 70% of patients adhere to care plans in comparison with the standard 5% in-facility during the height of the pandemic.
By Mike Miliard | 10:48 am | July 27, 2022
The collaboration, which will see the health systems working with deidentified data for algorithm development and validation, will focus on patient outcomes and aim toward "personalized, predictive and proactive medicine."