healthsystemCIO.com is the sole online-only publication dedicated to exclusively and comprehensively serving the information needs of healthcare CIOs.
Addressing health inequities is going to require systemic changes in national policies. In the meantime, however, “there are measures that clinicians and technologists can implement that will have an impact,” according to John Halamka, MD, who discusses how Mayo Clinic is working to create AI platforms and algorithms to change outcomes.
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.”
