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Alda Mizaku, chief data and artificial intelligence officer at the DC-based hospital, explains what skills are needed for this emerging C-suite position, and explains why an enterprise AI leader must be able to talk with anyone in any department.
The aim of the collaboration is to harness the "leading-edge power of quantum computing to shape the future of healthcare and technology" and create "a robust ecosystem that will attract, educate and retain top talent."
The new hires have deep public and private sector experience and will lead HHS efforts around artificial intelligence, data and digital technology within the Assistant Secretary for Technology Policy's Office of the CTO.
The St. Louis pediatric hospital has fully integrated its in-house behavioral health team with vendor tele-psychiatrists – including in its Epic EHR. The percentage of new patients scheduled within 14 days has jumped from 14% to more than 60%.
Billed as more than 10 times the scale of previous endeavors, the Truveta Genome Project aims to ensure representation across ancestries, ethnicities, genders and other social drivers of health – and broaden the reach of precision medicine.
Artificial intelligence can boost efficiency of imaging providers and support roles that offer greater provider productivity, says The Gordian Knot Group's Dawn Cram, who offers a preview of her HIMSS25 session on the subject.
Mayo Clinic takes its artificial intelligence-powered documentation platform enterprise-wide, Google Cloud collaborates on drug repurposing AI and a government-funded infectious disease risk model aims to improve public health resilience.
The CEO of Wolters Kluwer Health sees big artificial intelligence developments this year – and predicts that AI is moving from a reactive force in healthcare to a proactive one.
The company says in a 46-page detailed argument that Epic sought to deliberately eliminate its ability to gain payer market share and "brazenly doubles and triples down on knowingly false statements about Particle in its motion."
The framework explores ways to spur innovation and adoption, enable more trustworthy model development, promote access and foster AI-empowered healthcare workforces.
