Large language models rely on complex technology, but a plain English tutorial makes it clear that they use math, not magic to render their impressive results.
Generative AI: Pulling Back the Curtain, Part 2
From Vision to Execution: Crafting an Impactful AI Strategy
From identifying high-impact use cases to establishing a governance framework, there are several key steps that leaders should take when developing a comprehensive artificial strategy, according to Joey Meneses, Executive Director of Technology at Grady Health System.
“Filter Bubbles”: The Quest to Prevent Algorithms from Running Amok
It’s not just social media sites that reinforce users’ prejudices and belief systems by feeding them stories catering to their viewpoints; healthcare algorithms can also create “echo chambers,” according to Mayo Clinic Platform researchers, who examine the issue in this piece. Fortunately, there are alternatives.
“Relentless Pursuit”: How Community Health Network Is Partnering With Startups to Drive Transformation
With the majority of care in the U.S. being delivered at the community level, organizations like Community Health Network provide the ideal “sandbox” to test out solutions that could potentially improve efficiency and enhance the consumer experience, according to Patrick McGill, MD, and Allison Lodhi.
Act, Don’t Overreact: The Deliberate Approach Leaders Are Taking with Generative AI
Generative AI has seemingly sky-high potential for creating “innovative solutions to the problems we’re facing,” but if core essentials such as workflow integration and cybersecurity aren’t prioritized, it may not leave the ground, according to our panelists during a recent discussion.
Q&A with University of Utah Health CIO Donna Roach: “Change management is core to everything we do.”
“I want to avoid rushing into things and making mistakes you can’t recover from,” said Donna Roach, CIO at University of Utah Health. In this interview, she talked about the value of doing things “in a thoughtful way,” the platform-first approach her team has adopted, and what they’re learning by letting users play in the AI sandbox.
Addressing “Shortcomings”: How AI Can Help Predict the Onset of Sepsis
In recent years, artificial intelligence has been making significant inroads in sepsis management. And although these digital tools certainly have their flaws, they’re moving the industry in the right direction, according to John Halamka, MD, and Paul Cerrato of Mayo Clinic Platform.
Cedars-Sinai CIO Craig Kwiatkowski Talks Overhauling ERP, AI Governance & Immersive Learning
With organizations heavily focused on EHR rollouts and optimizations, the “critically important” administrative systems took a back seat, said Craig Kwiatkowski. In this interview, he talks about the “major overhaul” Cedar-Sinai has undergone to centralize services, the keys to success with its Accelerator program, and his interesting career background.
“Like Herding Cats”: Making a Case for AI Assurance Labs
As AI continues to build momentum, a group of health systems, government agencies and tech companies are banding together to develop “a set of guidelines for safe, secure and trustworthy AI algorithms,” according to John Halamka, MD. In this blog, he outlines the five main objectives of the network.
Pivoting to AI: A Roadmap for “Future-Proofing” Your Career
As digital tools continue to revolutionize sectors, an AI-focused skillset “is increasingly becoming a core asset,” according to Joey Meneses, CTO at Akron Children’s Hospital. In this piece, he shares thoughts on how to “future-proof your career path while shaping how this transformative technology evolves.”
