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Artificial Intelligence

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By Accenture | 06:02 pm | December 19, 2023
Together, talent and technology can help to solve Southeast Asia’s nursing shortage by relieving the pressure on healthcare workers, improving the nurse and patient experience and getting people the care they deserve.
By Bill Siwicki | 12:52 pm | December 19, 2023
Maxime Vermeir, senior director of AI strategy at ABBYY, an intelligent automation company, offers an in-depth analysis of an AI boom he sees coming in the year ahead.
By Mike Miliard | 10:57 am | December 18, 2023
Leaders from Providence, Humana and VMware offered varied perspectives on their artificial intelligence journeys at the HIMSS AI in Healthcare Forum on Friday.
By HIMSS TV | 07:00 am | December 18, 2023
The American Medical Association's principles on the development and deployment of AI highlight members' concerns and consider who should be held liable, says Dr. Jesse Ehrenfeld, president of AMA, speaking from the HIMSS AI in Healthcare Forum.
By Andrea Fox | 04:20 pm | December 15, 2023
"AI can fundamentally change the physician experience with an EHR by making it an intelligent partner for the clinician," says Paul Brient, chief product officer of athenahealth.
By HIMSS TV | 07:00 am | December 15, 2023
While privacy regulations are still developing, IQVIA brings humans into artificial intelligence models to think through, trigger and make the go, no-go decisions, says Updesh Dosanjh, practice leader for technology solutions.  
By Adam Ang | 01:43 am | December 15, 2023
Also, two hospitals under SingHealth have started adopting Lunit's AI chest X-ray solution.
By Mike Miliard | 08:14 pm | December 14, 2023
At the HIMSS AI in Healthcare Forum, physician and author Dr. Harvey Castro explored the implications as artificial intelligence expands and increasingly augments clinical decision-making. Providers need to be key players in AI development, he said.
By Mike Miliard | 07:27 pm | December 14, 2023
Boston Children’s, CVS, Geisinger, UC San Diego and Wellspan are among the 28 providers and payers promising their AI and machine learning models are geared to ensure healthcare outcomes that are "Fair, Appropriate, Valid, Effective and Safe."