AI

Dr Harvey Castro, author of "ChatGPT and Healthcare," discusses his book on the use of large language models in medicine, the role of physicians in refining future LLMs and worries about physician and patient hallucinations due to LLM results.

Munjal Shah, CEO and cofounder of Hippocratic AI, shares the difference between his company's large language model and Google and ChatGPT's LLMs – and the benefit of partnering with health systems while developing the model to ensure efficacy.

John Nebergall, chief operating officer of Consensus Cloud Solutions, discusses his experience at HIMSS Global Conference and what he's learned at pre-HIMSS sessions pertaining to interoperability and AI use in a secure environment.

Dr. John B. Halamka, president of Mayo Clinic Platform, discusses AI's "dizzying" evolution, Mayo’s strategy for approaching predictive AI versus generative AI, and its partnership with Google that practices agile development of AI.

Dr. Brian Anderson, MITRE’s chief digital health physician and Coalition for Health AI cofounder, says AI requires regulation. He discusses the blueprint CHI developed for bias-mitigation, transparency, governance and monitoring in AI.

Niall O'Connor, chief technology officer at Cohere Health, discusses how AI and machine learning can help streamline the prior authorization process by analyzing the totality of patient information and reducing denials by health plans.

Dr. Oscar Marroquin, chief healthcare data and analytics officer at UPMC, discusses clinical analytics' relationship with artificial intelligence, and the importance of understanding the foundational elements of using AI in healthcare.

Edward Yurcisin, chief technology officer at NCQA, tells how health plans and organizations can improve healthcare quality by utilizing open-source innovation between payers and providers and how NCQA works to help them achieve that goal.

Freddie Feldman, director of voice and conversational interfaces at Wolters Kluwer, talks about the potential of using AI and natural language processing for voice interfaces, and about limitations in the answers that generative AI can provide.

Dr. Payel Das, principal research staff member and manager in the Trusted AI department of IBM, and an IBM master inventor, relays how using large language models that fill gaps in datasets may improve drug discovery in the future.