If deployed equitably, AI-enabled clinical intelligence could significantly enhance quality measurement, risk adjustment and care outcomes for all patient populations.
We delve into the intersection of large language models (LLMs) and health care with David Lareau, a health care executive. Since the debut of ChatGPT, the health care sector has been abuzz with anticipation and intrigue regarding the potential applications of LLMs in medicine. However, amidst the excitement lies a critical discussion about the inherent limitations and risks associated with these powerful tools. Join us as we explore the challenges of LLMs hallucinating inaccurate information, the perpetuation of biases in medical data, and the importance of integrating clinical relevancy engines to refine LLM outputs.
Large language models can provide a big boost here for providers, says the CEO of Medicomp. But algorithms should be trained on hierarchical condition categories for risk adjustment – and challenges with data quality and bias need addressing.
Medicomp Systems Reaches Healthcare Documentation and Interoperability Milestone with 10 Million Terminology Mappings tmcnet.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from tmcnet.com Daily Mail and Mail on Sunday newspapers.
The changes coming with Web3, the pace of evolution and the responses needed will be different for each business; still, it’s wise to learn about the basics now.