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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.
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.
Without the proper controls in place, AI-enabled algorithms can do more harm than good, according to researchers from Mayo Clinic Platform. In this piece, they explore how the new NIST framework can help leaders more accurately assess AI trustworthiness, explainability, and bias.
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.
Despite the fact that CMS has extended the public health emergency that expanded telemedicine coverage, a number of states aren’t on board, according to Dr. John Halamka and Paul Cerrato. “Finding a way to extend the regulatory waivers,” they write, “is in our patients’ best interest.”
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.
