Allowing stakeholders to access data while protecting patient rights remains a significant challenge. But there is a potential solution, according to Mayo Clinic Platform researchers, who describe a “federated approach” in which data are stored in encrypted containers.
From EKGs to Strawberry Hullers: Artificial Intelligence’s Healthcare Evolution
Q&A with URMC CMIO Gregg Nicandri: “We need to give our caregivers more information.”
“Nurses and doctors didn’t go to school to become data entry technicians; and yet, a lot times, that’s what we feel like we’re doing,” said Gregg Nicandri, MD. In this interview, he talks about how URMC is leveraging technology to offload some of the burden, and shares his thoughts on the evolving CMIO role and what it takes to successfully drive change.
Is It Time to Incorporate Large Language Models into EHRs?
“Proceed with Humility”: The Keys to Moving Forward with Generative AI
Large language models offer great potential for improving care and efficiency, but “that must be done within guardrails and guidelines so that we do no digital harm,” said Paul Cerrato and John Halamka, MD. In this piece, they discuss the key components for successful development and deployment of AI tools.
“A Moving Target”: How Digital Tools Can Earn Clinicians’ Trust
Q&A with UPMC’s Chris Carmody: Healthcare’s “Target,” Cloud-based Analytics & Changing Care Pathways
For healthcare IT leaders, “the technology is the easy part,” said Chris Carmody, CTO at UPMC, during a recent interview. The real challenge comes in maintaining strong relationships with stakeholders.” He also talked about the benefits of migrating analytics to the cloud, why third-party risk management should be top of mind, and why he sees “a bright future” for healthcare.
The Power of “Reach”: Why Mayo Clinic Platform’s Data Network Might Have an Edge
Through partnerships with health systems, payers, medical device companies, and academic medical centers, Mayo Clinic Platform_Connect aims to find better ways to diagnose, treat, and prevent disease, according to John Halamka, MD. How? “By connecting clinical data through a federated, secure architecture.”