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When leveraged for their original purpose – to “create a skeleton note for humans to augment and edit, reducing administrative burden – generative AI can help provide more time for patient care and clinical decision making, according to John Halamka, MD, and Paul Cerrato of Mayo Clinic Platform.
If digital tools don’t solve the problems they’re designed to solve – or worse, “do more harm than good” – they aren’t much good to healthcare organizations, said John Halamka, MD, and Paul Cerrato. The key, they believe, is in constant validation and earning the trust of stakeholders.
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.”
Large language models and GPT may not be the apocalyptic nightmare some critics fear, but they certainly require due diligence by thought leaders, health care professionals, and the general public, wrote John Halamka, MD, and Paul Serrato. “We need a framework to manage them responsively.”
Does the industry really need another set of guidelines for implementing AI in healthcare? Yes, said Dr. John Halamka, noting that the latest publication from CHAI offers “a holistic approach to assessments of AI-based clinical systems for health systems, consumers, and end users,” he wrote in a recent piece, along with Paul Cerrato.
The more the industry moves toward a participatory medicine model – one in which patients and providers work together as collaborators instead of customers and vendors – the better outcomes patients can achieve, according to Mayo Clinic researchers John Halamka, MD, and Paul Cerrato.
Reducing clinical burnout “will undoubtedly require a three-pronged approach that includes changes in policy, culture, and technology,” according to researchers Paul Cerrato and John Halamka, MD. In this post, they discuss how vendors are addressing the third leg.
Conversational technologies have the potential to solve some of healthcare’s most challenging problems, according to John Halamka and Paul Cerrato of Mayo Clinic Platform. But first, its own quirks need to be ironed out, they wrote in a recent piece.
The digital models designed to provide accurate, unbiased care can’t succeed if there are still algorithmically underserved populations, according to Mayo Clinic researchers, who provide some practical solutions in this piece.
Resistance to innovation is nothing new, especially in healthcare. But it may be time for a new look at what’s behind that fear, said John Halamka, MD, and Paul Cerrato of Mayo Clinic Platform. “Change may require that we take on new responsibilities and learn skills that are beyond our abilities.”
