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Artificial Intelligence

AI & ML Intelligence
By Bill Siwicki | 01:35 pm | May 20, 2024
Craig Kwiatkowski is calibrating the pace of the health system's artificial intelligence adoption to ensure it's deploying generative AI safely and responsibly.
By HIMSS TV | 12:00 pm | May 20, 2024
Craig Kwiatkowski is taking the FAVES approach: fair, appropriate, valid, effective and safe. He says this also helps from an adoption perspective.  
By Tjasa Zajc | 08:00 am | May 20, 2024
Using 14 key performance indicators (KPIs), decision-makers receive an overview of surgeon performance. This increased transparency aims to enhance the quality of care and identify potential areas for improvement.
HIMSS24 Europe
By HIMSS TV | 01:50 pm | May 18, 2024
Mette Maria Skjøth, RN, department head at the Dermatology and Allergy Centre of Denmark's Odense University Hospital, discusses potential uses for AI tools, including early detection of sepsis and infectious diseases.
By Mike Miliard | 05:50 pm | May 17, 2024
Sarah Hatchett, who had been serving as interim chief information officer since August 2023, will take on the role full time.
By Bill Siwicki | 01:47 pm | May 17, 2024
By 2030, there is projected to be a shortage of 120,000 cardiologists in the U.S. Combined with the decline in hospital beds and rising cost of heart failure, healthcare organizations need to find a way to detect heart failure earlier and at lower cost.
HIMSS24 Europe
By HIMSS TV | 01:15 pm | May 17, 2024
Dr Georgi Chaltikyan of Germany's Deggendorf Institute of Technology says he believes teaching healthcare staff how to use AI technologies that automate workflows would help reduce burnout and lead to better patient outcomes.
By HIMSS TV | 07:00 am | May 17, 2024
MITConn Consulting's principal health IT strategist, Dr. Reza Ryan Sadeghian, discusses the GPT apps his team created to help medical students access references and virtual tutoring and to streamline clinical documentation.  
HIMSS24 Europe
By HIMSS TV | 01:47 pm | May 16, 2024
Bart de Witte, founder of Hippo AI Foundation, discusses challenges of developing open-source healthcare AI models, including the need to build them on quality management systems and the difficulty of accessing clinical data for training.