Artificial Intelligence

The Coalition for Health AI's guide takes a patient-centric approach and aims to address, among other challenges, barriers to trust in AI and machine learning. It builds on the White House's AI Bill of Rights and NIST's' AI Risk Management Framework.

A HIMSS23 panel on biosurveillance to help public health officials in pandemics will feature Scott McKeithen, Marleen Welsh and Charles Baschnagel, who work at the Department of Defense Chief Digital and Artificial Intelligence Office.

The largest health system in New York State will roll out an enterprise-wide platform to help standardize and scale secure monitoring and interoperability, enabling more unified visibility into what's happening at each patient's bedside.

By analyzing crowdsourced patient experience data with NLP, it's possible to enhance care quality measurement and reporting, says Jennifer Gaudet Hefele, senior scientist at Booz Allen Hamilton, a speaker at HIMSS23.

Enhancing genomic discoveries with AI and machine learning.

In a preview of his HIMSS23 discussion on artificial intelligence in healthcare, Jeremy Petch, director of digital health innovation at Hamilton Health Sciences, describes the uses and limitations of explainable AI in different clinical settings.

Phoenix Children's Hospital EVP and Chief Innovation Officer David Higginson previews his HIMSS23 discussion, explaining how AI algorithms supplement the work of the hospital's clinical and operational teams to improve care quality and efficiency.

The agency says it is proposing a science-based approach to requirements for medical devices powered by artificial intelligence and machine learning that would help deploy new devices faster.

In Episode 1 of “Unlocking Big Data,” sponsored by Arcadia, Andrew Sorenson, Regional VP, Data and Digital Product Strategy and Governance at Centene Corp., and Michael Meucci, CEO of Arcadia, discuss data access and quality.

How healthcare organizations are implementing AI & ML tools.